Kirkwood Buff derived force field for mixtures of acetone and water

Size: px
Start display at page:

Download "Kirkwood Buff derived force field for mixtures of acetone and water"

Transcription

1 JOURNAL OF CHEMICAL PHYSICS VOLUME 118, NUMBER JUNE 2003 Kirkwood Buff derived force field for mixtures of acetone and water Samantha Weerasinghe a) and Paul E. Smith b) Department of Biochemistry, Kansas State University, Manhattan, Kansas Received 24 January 2003; accepted 24 March 2003 A united atom nonpolarizable force field for the simulation of mixtures of acetone and water is described. The force field is designed to reproduce the thermodynamics and aggregation behavior of acetone water mixtures over the full composition range at 300 K and 1 atm using the enhanced simple point charge water model. The Kirkwood Buff theory of solutions is used to relate molecular distributions obtained from the simulations to the appropriate experimental thermodynamic data. The model provides a very good description of the solution behavior at low (x a 0.2) and high (x a 0.8) acetone concentrations. Intermediate compositions display a small systematic error in the region of highest water self-aggregation, which is removed on using larger system sizes. In either case, the activity of the solution is well reproduced over the full range of compositions American Institute of Physics. DOI: / I. INTRODUCTION The ability to accurately reproduce the properties of different solutes in water using computer simulation will provide an increased understanding of the thermodynamics and properties of these systems. Acetone propanone and water represent one of the simplest examples of two solvents which are completely miscible at all mole fractions. Previous experimental studies of mixtures of acetone and water indicate that water molecules tend to self-aggregate, and that the degree of aggregation displays a maximum around compositions of 0.5 mole fraction. 1,2 However, most simulations of acetone and water mixtures have focused on describing spectroscopic data or characterizing the distribution of hydrogen bonds within the system. 3 5 None have described the aggregation of acetone or water in any detail. Unfortunately, our preliminary studies with currently available acetone force fields 3,6 suggested that this behavior was poorly reproduced. Hence, an improved force field for the description of acetone water mixtures has been developed and is presented here. The model is specifically designed to reproduce the molecular aggregation and thermodynamic properties, in particular, the activity of these mixtures as described by the Kirkwood Buff KB theory. Other properties are then examined to determine if they are consistent with the experimental data. The KB theory has been used by many researchers to investigate the properties of liquid mixtures. 7,8 The majority of these studies extracted the appropriate KB integrals from the experimental data. Some studies have determined KB integrals from computer simulations. 8 However, to our knowledge, calculated KB integrals have not been used in the development of force fields for solution mixtures. The KB approach is used here, as our previous studies have indicated that the corresponding KB integrals and activity de- a Permanent address: Department of Chemistry, University of Ruhuna, Matara, Sri Lanka. b Electronic mail: pesmith@ksu.edu rivatives provide a very sensitive test of a particular model, and the charge distribution, in particular. 9,10 This is especially significant as we have found that many of the usual physical properties which characterize a solution mixture densities, diffusion constants, dielectric constants, compressibilities, etc. can be relatively insensitive to changes in model parameters. 10 In addition, the KB integrals also provide a route to the solution activities which are not normally available during force field development. Using this type of KB approach, a model for urea/water mixtures was developed which reproduces both the KB data and the usual physical properties. 11 The model correctly describes the experimental degree of urea aggregation, 11 which has been shown to vary significantly between different force fields. 10,12 In contrast to many other force field approaches, the partial atomic charges were varied during the parameterization to obtain the correct solution thermodynamics as described by the KB theory, rather than determining the appropriate charge distributions from ab initio calculations. The same KB derived force field KBFF approach is used here for mixtures of acetone and water. II. METHODS A. Molecular dynamics simulations The different acetone solutions were simulated using classical molecular-dynamics techniques. Several water models were used enhanced simple point charge SPC/E, 13 simple point charge SPC, 14 transferable intermolecular potentials TIP3P, 15 although the majority of simulations involved the SPC/E model. All simulations were performed in the isothermal isobaric NpT ensemble at 300 K and 1 atm. The weak coupling technique 16 was used to modulate the temperature and pressure with relaxation times of 0.1 and 0.5 ps, respectively. All bonds were constrained using SHAKE 17 and a relative tolerance of 10 4 nm, allowing a 2 fs time step for the integration of the equations of motion. The particle mesh Ewald technique was used to evaluate electrostatic interactions. 18,19 A real space convergence parameter of /2003/118(23)/10663/8/$ American Institute of Physics

2 10664 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 S. Weerasinghe and P. E. Smith 3.5 nm 1 was used in combination with twin range cutoffs of 0.8 and 1.2 nm, and a nonbonded update frequency of 10 steps. The reciprocal space sum was evaluated on a 40 3 grid with 0.1 nm resolution. Initial configurations of the different solutions were generated from a cubic box (L4.0 nm) of equilibrated water molecules by randomly replacing water with acetone until the required concentration was attained. The steepest descent method was then used to perform 100 steps of minimization. This was followed by extensive equilibration which was continued until all interspecies potential energy contributions displayed no drift with time. Total simulation times were in the 2 4 ns range, and the final 2 3 ns were used for calculating ensemble averages. Configurations were saved every 0.1 ps for the calculation of various properties. Diffusion constants were determined using the mean-square fluctuation approach, 20 relative permittivities from the dipole moment fluctuations, 21 and finite difference compressibilities by performing additional simulations of 250 ps at 1000 atm. Relaxation times were obtained after fitting the appropriate correlation function first-order Legendre polynomial to a single exponential decay model. 22 The excess enthalpy of mixing (H E ) was determined using an established procedure, 23,24 with values for the pure SPC/E water and pure acetone configurational energies of and kj/mol, respectively. Errors 1 in the simulation data were estimated by using two or three block averages. B. Kirkwood Buff theory The development of the KB theory is described in detail elsewhere. 7,25 The thermodynamic properties of a solution mixture can be expressed in terms of the KB integrals between the different solution components, 25 G ij 4 g VT ij r1r 2 dr. 0 Here, G ij is the KB integral between species i and j, g VT ij (r) is the corresponding radial distribution function RDF in the grand canonical VT ensemble, and r is the corresponding center of mass-to-center of mass distance. The KB integrals were determined from the simulation data NpT ensemble by assuming that, 7,24,26 G ij 4 Rg NpT ij r1r 2 dr, where R represents a correlation region within which the solution composition differs from the bulk composition. 7 All RDFs are assumed to be unity beyond R. Excess coordination numbers are defined as N ij j G ij, where j N j /V is the number density of j particles. A value of N ij greater than zero indicates an excess of species j in the vicinity of species i over a random distribution, while a negative value corresponds to a depletion of species j surrounding i. For a binary solution consisting of water w and acetone a, a variety of thermodynamic quantities can be defined in terms of the integrals G ww, G aa, and G aw, and the number densities or molar concentrations w and a. The partial molar volumes of the two components, V ; the isothermal compressibility of the solution, T ; derivatives of the chemical potential, ; derivatives of the acetone molar activity, a a y a a ; and derivatives of the acetone mole fraction (x a ) scale activity coefficients f a, at a pressure p and a temperature T are given by 7 V w 1 ag aa G aw, V a 1 wg ww G aw, T, a aa ln a a ln a f aa ln f a ln x a 1 ln y a ln a a G aa G aw, 4 wx a G ww G aa 2G aw 1 w x a G ww G aa 2G aw, where w a w a (G ww G aa 2G aw ), 1 w G ww a G aa w a (G ww G aa G 2 aw ), 1/(RT), and R is the gas constant. For real stable solutions, the values of,, and a aa must be positive, while f aa must be 1. 7 There are no approximations made during the derivation. 25 Hence, the KB theory provides a direct relationship between acetone self-aggregation (N aa ) and acetone activity derivatives through Eqs. 4 and 5, and should provide a good test of a particular force field. Our previous simulations and others have indicated that a combination of the KB theory and NpT simulations can provide quantitative information concerning the thermodynamics of solutions. 8,9,24,27 Two sets of experimental data exist describing the KB integrals for acetone water mixtures. 1,2 The two studies used independent determinations of the solution activities or excess molar Gibbs energies. As the activities are typically the largest source of error in the KB analysis, 1 we have included both sets of data in our comparison to provide an estimate of the degree of uncertainty in the experimental data. As a further consistency check, we have also reproduced the data of Blandamer et al. 2 Both sets of experimental data are consistent in their description of the KB integrals for this system and suggest smaller errors in the integrals than originally estimated by Matteoli and Lepori. 1 C. Parameter development The experimental geometry for acetone was used to determine equilibrium bond lengths and angles. 28 Force constants for the bonded terms were taken from the GROMOS96 force field. 29 Nonbonded interactions were described by the commonly used Lennard-Jones 6-12 potential combined with a Coulomb potential. Geometric combination rules were used for both the 6-12 and parameters. The and parameters for the united atom methyl group were taken from a recent reparametrization of the GROMOS hydrocarbon force field. 30 The remaining and parameters were determined by using the correlation between atomic size and atomic hydrid components ( i ) of molecular polarizabilities, 31 as described previously. 11 Values of depend on hybridization and not connectivity. Furthermore, it was assumed that the form of the dispersion interaction followed the London equation. 32 Hence, our values of ii and 5

3 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 Force field for acetone-water mixtures TABLE I. Bonded parameters for KBFF acetone. Potential functions are: Angles, V 1/2k ( 0 ) 2 and impropers, V 1/2k ( 0 ) 2. Energies force constants are in kj/mol/rad 2, angles in degrees, and distances in nm. Bond lengths (r 0 ) were constrained. Bonds C O CuCH 3 r Angles OuCuCH 3 CH 3 ucuch 3 k Impropers CuOuCH 3 uch 3 k TABLE II. Nonbonded parameters. Lennard-Jones 6-12 plus Coulomb potential. Geometric mean combination rules were used for both ij and ij. Model Atom kj/mol nm q (e) Acetone KBFF C O CH Water SPC/E O H ii were taken to be proportional to i 1/2 and i I i, respectively. The scaling factor for was determined by reference to the value of the SPC/E water oxygen, with hybridization dependent ionization potentials (I i ) taken from Hinze and Jaffe. 33 The scaling factor for was taken from our previous work. 11 No charge was assigned to the united atom methyl group so as to be consistent with the hydrocarbon reparametrization, and because trial simulations suggested the KB results were relatively insensitive to small methyl charges. Consequently, only one parameter, the carbon/oxygen charge, was varied to obtain the correct density for an acetone/water mixture of 0.5 mole fraction. The final force field parameters are displayed in Tables I and II, and a summary of the simulations performed is presented in Table III. The final dipole moment of acetone was 3.32 D for the current model compared to the gas phase experimental value of III. RESULTS The final acetone force field is described in Tables I and II and was used to perform a series of simulations of acetone and water mixtures covering the full mole fraction concentration range Table III. It was important to study these mixtures using reasonably large simulation volumes to ensure that the RDFs displayed no long-range structure beyond 1.5 nm or so, and that the KB integrals converged to a reasonable plateau value. In addition, a significant simulation time was required 1 nsorso to ensure full equilibration of the systems no systematic changes in the RDFs, followed by several ns of simulation to precisely determine the value of the slowly fluctuating KB integrals. The RDFs obtained from the x a 0.5 mixture of acetone and water are displayed in Fig. 1, together with the corresponding KB integrals as a function of integration distance. The large first peak in the water water RDF illustrates the high degree of water self-association observed using the model. This is further highlighted by the large positive KB integral for water water, contrasted by the negative values for the acetone acetone and acetone water KB integrals. The latter two integrals were well converged at large distances, displaying only small oscillations around their average values. The water water KB integral was not fully converged for the mixtures with a large degree of water selfaggregation. However, we feel reasonable estimates of the appropriate values were obtained with the current system sizes after averaging the KB integrals obtained between R 0.85 and 1.25 nm, which represented approximately one oscillation in the KB integrals see Fig. 1. Significant contributions to the water water KB integral were observed from the second- and third-solvation shells, as observed in other systems. 8,27 First-shell coordination numbers, as a function of acetone mole fraction, are presented in Table IV, and displayed the expected systematic changes with no observed maxima or minima. The simulated and experimental KB integrals are displayed in Fig. 2 in the form of excess coordination numbers (N ij j G ij ). The trends in the experimental data were very well reproduced. Acetone self-association decreased as the TABLE III. Summary of the molecular-dynamics simulations of acetone/water mixtures. All simulations were performed at 300 K and 1 atm in the NpT ensemble. Symbols are N i, number of i molecules; x a, acetone mole fraction; a, acetone molarity; V, average simulation volume;, mass density; and T sim, total simulation time. N a N w x a M a V nm 3 g/cm 3 T sim ns

4 10666 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 S. Weerasinghe and P. E. Smith FIG. 1. Radial distribution functions (g ij ) and KB integrals (G ij ) as a function of distance for the x a 0.5 simulation. FIG. 2. Excess coordination numbers (N ij ) as a function of acetone mole fraction (x a ). Lines represent the two sets of experimental data from Refs. 1 and 2 and crosses correspond to the KBFF model. mole fraction of acetone increased. The observed maximum in the degree of water self-association was reproduced, but the quantitative agreement was not so good for mole fractions of 0.5 or so. An underestimation of the degree of water aggregation was observed in this region. The model displayed good agreement with experiment in the low (x a 0.2) and high (x a 0.8) composition regions. In between, the degree of self-aggregation was underestimated, while the degree of acetone solvation was overestimated. Further efforts were unable to produce a model which reproduced both the solution density and KB integrals in the region of x a 0.5 by variation of just the carbon/oxygen charge. Simultaneous variations of the charge and scale factor for carbon/oxygen were not investigated here. The reason for the disagreement observed for the x a 0.1 composition was unclear, but may be related to the poor sampling for G aa at low acetone mole fractions. The partial molar volumes, isothermal compressibilities, and densities as a function of composition are displayed in Fig. 3. The simulated density was in excellent agreement with experiment over the whole concentration range, although this appeared to be due to a slight underestimation of the acetone partial molar volume, in combination with an overestimation of the water partial molar volumes. The KB derived compressibility was in excellent agreement with experiment except for some deviation at high acetone mole fractions. However, lower finite difference compressibilities were obtained for the same compositions. It is not immediately clear why the two values differ. The KB derived compressibility is difficult to obtain as it is very sensitive to the value of R for all but very large systems see later. Alternatively, the finite difference approximation may also lead to some error for more compressible solvents than water. Nevertheless, the trends in all the properties were very well reproduced. The solution activity derivatives and corresponding activities are displayed in Fig. 4. The simulated acetone mole fraction activity coefficient ( f a ) was obtained by assuming that the excess molar Gibbs energy (G E ) follows a Wilson equation form, 36 G E x a lnx a c w x w x w lnx w c a x a, and using the thermodynamic relationship, f aa 2 G E 2 x a ln f a ln x a x a x w 6. 7 Equation 6 satisfies the Gibbs Duhem condition (N a d a N w d w 0, at constant p and T and should be accurate enough for the current purposes considering the estimated errors in the simulated derivatives. On fitting the derived equation for f aa to the corresponding simulated activity derivatives, the constants c a and c w were determined to be and 0.372, respectively. The value of f a was then obtained by numerical integration, and the value of y a was obtained from f a by using standard conversion rules. 37 TABLE IV. First-shell coordination numbers (n ij ) for acetone/water mixtures. The distance to the first minimum of the RDF was nm for acetone acetone, nm for acetone water, and nm for water water. Typical errors were 0.1. x a n aa n aw n ww

5 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 Force field for acetone-water mixtures FIG. 3. Partial molar volumes (V i), isothermal compressibilities ( T ), and solution density as a function of acetone mole fraction (x a ). Lines represent the experimental data from Ref. 35 and crosses correspond to the KBFF model. Finite difference compressibilities are displayed as triangles. FIG. 5. Diffusion constants (D i ), relative permittivities, excess Gibbs energy (G E upper curves, excess enthalpy (H E lower curves as a function of acetone mole fraction (x a ). Lines represent the experimental data from Refs and crosses correspond to the KBFF model. FIG. 4. Activity derivatives (a aa and f aa ) and activity coefficients (y a and f a ) as a function of acetone concentration ( a or x a ). Lines represent the experimental data from Refs. 1 and 2 and crosses correspond to the KBFF model. The experimental mole fraction activity derivatives proceed through a minimum around x a 0.5, which corresponds to the point of highest self-aggregation. A value of f aa 1 indicates an unstable solution. Hence, acetone water mixtures approach, but do not reach, immiscibility in this region. This trend was reproduced by the current model although not in a quantitative manner. Even so, the corresponding acetone activities show good agreement with experiment, although they are consistently higher than experiment as a direct result of the underestimation in the degree of water and acetone aggregation, which led to smaller values of the activity derivatives. The Gibbs Duhem condition ensures that the water activities must also be well reproduced if the densities and acetone activity derivatives are accurate. Some solution properties not directly used in the parameterization are displayed in Fig. 5 and Table V. It was encouraging that the trends in the acetone and water diffusion constants, the relative permittivity, excess Gibbs energy, and excess enthalpy were reproduced with quantitative agreement in many cases. The diffusion of acetone was in excellent agreement with experiment. Water diffusion displayed the experimentally observed minimum, but shifted to larger acetone concentrations. Additional calculations of the diffusion constants under microcanonical NVE and canonical NVT conditions indicated that they were insensitive, within the observed errors, to the ensemble used. The relative permittivity decreased monotonically with acetone mole fraction, in agreement with experiment, but remained consistently lower than the experimental data. The excess Gibbs energy obtained from Eq. 6 was in excellent agreement with experiment. The excess enthalpy displayed the correct sinusoidal shape but was slightly too negative favorable beyond x a 0.2. Hence, the model resulted in a larger solvation enthalpy than observed experimentally for x a 0.2. Obviously, the excess entropy of solution must compensate for the deviations in excess enthalpy in order to generate the correct excess Gibbs energy. It is unclear how this imbalance may affect the temperature dependent solution activities. A maximum in the single molecule and total dipole moment relaxation times was observed Table V which appeared to coincide with the water aggregation maximum Fig. 2. Some selected atom atom RDFs are displayed in Fig. 6 for the x a 0.5 simulation. Significant solvation of acetone by water was observed with the most solvation occurring between the acetone oxygen and water, probably due to the higher degree of solvent exposure compared to the central carbon. The first-shell coordination number for water around the carbonyl oxygen was 0.8 at nm. The pair interaction energy histograms and average pair interaction energies are displayed in Fig. 7. They indicate a diffuse acetone water pair interaction energy distribution, and an average water pair interaction energy of 23 kj/mol at 0.27 nm, which favored water aggregation. The dipole dipole spatial correlation functions are also displayed in Fig. 7 and indicate that acetone pairs in very close contact 0.32 nm tended to

6 10668 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 S. Weerasinghe and P. E. Smith TABLE V. Relaxation times and relative permittivities of acetone/water mixtures. Symbols are a and w, are single molecule rotational relaxation times for the acetone and water dipoles, respectively; M, total dipole relaxation time;, relative permittivity. Errors were typically 1 ps for the relaxation times and 5 for the permittivities. x a a (ps) w (ps) M (ps) favor antiparallel stacked dimers with an average interaction energy of 17 kj/mol. However, the average angle between acetone molecules at the first maximum in the acetone acetone RDF 0.5 nm was 84, i.e., either perpendicular or almost random, and possessed an average interaction energy of only 2 kj/mol. As the KB integrals obtained for the x a 0.5 simulation did not appear to converge completely, and the degree of water aggregation was also underestimated, a larger system was simulated to investigate possible system size effects. The larger system contained 1500 acetone and 1500 water molecules in a box approximately 6.0 nm in length. Some of the results are displayed in Table VI and Fig. 8 all of the other properties were insensitive to the system size. The major differences between the two systems were manifested in the longer-range correlations with the shorter-range distributions (n ij ) remaining unaffected. The data clearly showed that a larger system permitted a larger degree of water aggregation (N ww 5.3) to occur by extending the correlation region to distances of nm. Consequently, the results were in better agreement with experiment than the smaller system, although the changes did not significantly affect the calculated activities. The acetone force field described here was developed for use with the SPC/E water model. In Table VI, we also present the corresponding data for the acetone force field with both the SPC and TIP3P water models. As might be expected, the simulations with the SPC and TIP3P water models produced data which were in slightly worse agreement with experiment than the SPC/E model. Hence, the choice of water model can influence the results, although this was not the case for our previous study of urea and water mixtures. 11 The direction of the deviations was consistent with the trend in water water interaction energies. Consequently, the SPC/E model, which has the largest partial atomic charges, produced a larger water water interaction energy and hence a larger degree of water aggregation. The diffusion results suggested that the SPC model might work best with the KBFF acetone force field. However, pure SPC water displays a high diffusion constant almost twice the experimental value 9 and so this agreement was probably somewhat fortuitous. Also displayed in Table VI are the results obtained for the optimized parameters for liquid simulations OPLS acetone force field 6 and TIP3P water system. OPLS acetone is known to exhibit a low density for pure acetone under NpT conditions, or high pressures under NVT conditions. 43 Water FIG. 6. Intermolecular atom atom radial distribution functions obtained from the x a 0.5 simulation using the KBFF model. FIG. 7. Pair interaction energy probabilities top, distance dependent average pair interaction energies middle, and dipole dipole spatial correlation functions bottom, obtained from the x a 0.5 simulation using the KBFF model.

7 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 Force field for acetone-water mixtures TABLE VI. Comparison of the properties of different acetone and water models. All data correspond to an acetone mole fraction of x a 0.5. Typical errors are shown in Figs Experimental data: Density from Ref. 35, diffusion coefficients from Ref. 39, and KB integrals from Refs. 1 and 2. The KB integrals for the larger (N a 1500) system were obtained after averaging between R2.0 and 2.4 nm. KBFF OPLS SPC/E SPC/E SPC TIP3P TIP3P Expt. Units N a g/cm 3 D a m 2 /s D w m 2 /s n aa n ww n aw V a cm 3 /mol V w cm 3 /mol G aa /55 cm 3 /mol G ww /688 cm 3 /mol G aw /140 cm 3 /mol a aa /0.42 f aa /0.82 aggregation (G ww ) for the OPLS model was over an order of magnitude larger than the KBFF model, and more than five times the experimental value. In addition, the magnitude of f aa indicated that the solution was very close to the stability limit ( f aa 1). The reason for this behavior appeared to be the relatively low OPLS acetone charges (q O 0.424, q C 0.300, and q CH ), which led to a lower solvation energy and hence a high degree of water aggregation. However, as the oxygen atom size value is also smaller for the OPLS force field, this type of analysis may be too simplistic. Furthermore, it is clear that many models using ab initio derived charge distributions might not necessarily reproduce the correct solution thermodynamics, especially as the use of different basis sets can generate very different charge distributions which significantly affect the molecular distributions in solution. 10,11 The parameters derived here were obtained from simulations of acetone water mixtures. The results for pure acetone are presented in Table VII. The data are in reasonable agreement with the available experimental values, especially the density and relative permittivity. The diffusion constant was slightly low, as was the compressibility. The configurational energy was less negative than the experimental data, 38 although the data have not been corrected for polarization or quantum-mechanical effects which are often significant. 13,46 The dipole moment of liquid acetone (3.32 D) is larger than the gas phase value (2.88 D), as expected for effective charge models which include polarization effects implicitly. The compressibilities obtained from the KB and finite difference approaches were in agreement for pure water, but deviated significantly for pure acetone see also Fig. 3. Hence, the difference between the two approaches appears to be TABLE VII. Properties of the pure acetone and pure SPC/E water models. Compressibilities determined from the KB integrals KB and finite difference calculations. Experimental data: Densities from Refs. 35 and 44, diffusion constants from Refs. 39 and 45, permitivities from Refs. 42 and 44, and compressibilities from Ref. 42. Molecular dynamics Expt. Units KBFF acetone g/cm 3 D a m 2 /s T -KB atm 1 T -finite difference 8.0 E pot kj/mol FIG. 8. The KB integrals (cm 3 /mol) obtained for simulations of x a 0.5 mole fraction. The solid lines are the smaller 432 acetone simulation, while the dashed lines correspond to the larger 1500 acetone simulation. Thin lines indicate the average of the two experimental values. SPC/E Water g/cm 3 D w m 2 /s T -KB atm 1 T -finite difference 4.5 E pot kj/mol

8 10670 J. Chem. Phys., Vol. 118, No. 23, 15 June 2003 S. Weerasinghe and P. E. Smith more evident for larger solutes and/or more compressible solutions. IV. CONCLUSIONS A model for acetone water mixtures has been developed using the KB theory of solution thermodynamics. The model performs very well for all acetone mole fractions. However, the degree of water self-aggregation is slightly underestimated for mole fractions of around 0.5 due to the need for very large systems to fully capture the aggregation behavior in this region. This is a general problem which relates to the extent of the correlation region. The exact value of R at which all the RDFs are essentially unity is unknown and varies from system to system. It will be dependent on the sizes of the molecules under study and the properties of the solution itself. Large solutes or solvents and highly aggregating systems will tend to display larger correlation volumes. Clearly, the data presented here indicate that large 6.0 nm box length systems may often be required when any of the KB integrals (G ij ) become much greater in magnitude than the corresponding partial molar volumes (V i). In our opinion, the current model represents a significant improvement in describing the relative distribution of molecules in solutions of acetone and water, and accurately reproduces the solution activities. The degree of water aggregation appeared to be sensitive to the partial charge on the carbonyl atoms. The larger the charge, the higher the solvation, and the lower the water self-aggregation. Changing the water model to a less polar charge distribution results in less water self-aggregation due to decreases in the water water interaction energy. Results obtained for other properties not included in the original parameterization, and for pure acetone, were encouraging and suggest that obtaining force fields via a combination of simulation and KB theory yields realistic liquid state models. The ability to easily calculate the solution activities using simple NpT simulations provides additional data for parameter determination and represents a significant step in the development and characterization of force fields for liquid mixtures. ACKNOWLEDGMENTS This project was partially supported by the Kansas Agricultural Experimental Station Contribution No J. This material is based upon work supported by DOE Grant No. DE-FG02-99ER45764, the NSF, and matching support from the State of Kansas. Acknowledgment is made to the donors of The Petroleum Research Fund, administered by the ACS, for partial support of the research. 1 E. Matteoli and L. Lepori, J. Chem. Phys. 80, M. J. Blandamer, J. Burgess, A. Cooney, H. J. Cowles, I. M. Horne, K. J. Martin, K. W. Morcom, and P. Warrick, Jr., J. Chem. Soc., Faraday Trans. 86, M. Ferrario, M. Haughney, I. R. McDonald, and M. L. Klein, J. Chem. Phys. 93, D. S. Venables and C. A. Schmuttenmaer, J. Chem. Phys. 113, A. Idrissi, S. Longelin, and F. Sokolie, J. Phys. Chem. B 105, W. L. Jorgensen, J. M. Briggs, and M. L. Contreras, J. Phys. Chem. 94, A. Ben-Naim, Statistical Thermodynamics for Chemists and Biochemists Plenum, New York, Fluctuation Theory of Mixtures, Advances in Thermodynamics, Vol. 2, edited by E. Matteoli and G. A. Mansoori Taylor and Francis, New York, R. Chitra and P. E. Smith, J. Chem. Phys. 115, S. Weerasinghe and P. E. Smith, J. Chem. Phys. 118, S. Weerasinghe and P. E. Smith, J. Phys. Chem. B to be published. 12 F. Sokolić, A. Idrissi, and A. Perera, J. Chem. Phys. 116, H. J. C. Berendsen, J. R. Grigera, and T. P. Straatsma, J. Phys. Chem. 91, H. J. C. Berendsen, J. P. M. Postma, W. F. van Gunsteren, and J. Hermans, in Intermolecular Forces, edited by B. Pullman Reidel, Dordrecht, 1981, pp W. L. Jorgensen, J. Chandrasekhar, J. D. Madura, R. W. Impey, and M. L. Klein, J. Chem. Phys. 79, H. J. C. Berendsen, J. P. M. Postma, W. F. van Gunsteren, A. DiNola, and J. R. Haak, J. Chem. Phys. 81, J.-P. Ryckaert, G. Ciccotti, and H. J. C. Berendsen, J. Comput. Phys. 23, S. W. de Leeuw, J. W. Perram, and E. R. Smith, Proc. R. Soc. London, Ser. A 373, T. Darden, D. York, and L. Pedersen, J. Chem. Phys. 98, R. Chitra and P. E. Smith, J. Phys. Chem. B 104, M. P. Allen and D. J. Tildesley, Computer Simulation of Liquids Oxford University Press, Oxford, P. E. Smith and W. F. van Gunsteren, J. Chem. Phys. 100, M. Fioroni, K. Burger, A. E. Mark, and D. Roccatano, J. Phys. Chem. B 104, R. Chitra and P. E. Smith, J. Chem. Phys. 114, J. G. Kirkwood and F. P. Buff, J. Chem. Phys. 19, R. Chitra and P. E. Smith, J. Phys. Chem. B 106, R. Chitra and P. E. Smith, J. Phys. Chem. B 105, R. Nelson and L. Pierce, J. Mol. Spectrosc. 18, W. F. van Gunsteren, S. R. Billeter, A. A. Eising, P. H. Hünenberger, P. Krüger, A. E. Mark, W. R. P. Scott, and I. G. Tironi, Biomolecular Simulation: The GROMOS96 Manual and User Guide vdf Hochschulverlang, ETH Zürich, Switzerland, L. D. Schuler, X. Daura, and W. F. van Gunsteren, J. Comput. Chem. 22, K. J. Miller and J. A. Savchik, J. Am. Chem. Soc. 101, P. W. Atkins, Physical Chemistry, 2nd ed. Oxford University Press, London, J. Hinze and H. H. Jaffé, J. Am. Chem. Soc. 84, A. L. McClellan, Tables of Experimental Dipole Moments Freeman, San Francisco, L. Boje and A. Hvidt, J. Chem. Thermodyn. 3, M. Kato, Int. DATA Ser., Sel. Data Mixtures, Ser. A 30, R. A. Robinson and R. H. Stokes, Electrolyte Solutions Butterworths, London, B. A. Coomber and C. J. Wormald, J. Chem. Thermodyn. 8, D. W. McCall and D. C. Douglass, J. Phys. Chem. 71, G. Akerlof, J. Am. Chem. Soc. 54, M. A. Villamanan and H. C. Van Ness, J. Chem. Eng. Data 29, R. C. Weast, Handbook of Chemistry and Physics CRC, Boca Raton, FL, A. Brodka and T. W. Zerda, J. Chem. Phys. 104, D. R. Lide, CRC Handbook of Chemistry and Physics CRC, New York, K. Krynicki, C. D. Green, and D. W. Sawyer, Faraday Discuss. Chem. Soc. 66, J. P. M. Postma, Ph.D. thesis, University of Groningen, 1985.

On the calculation of solvation free energy from Kirkwood- Buff integrals: A large scale molecular dynamics study

On the calculation of solvation free energy from Kirkwood- Buff integrals: A large scale molecular dynamics study On the calculation of solvation free energy from Kirkwood- Buff integrals: A large scale molecular dynamics study Wynand Dednam and André E. Botha Department of Physics, University of South Africa, P.O.

More information

Kirkwood-Buff Integrals for Aqueous Urea Solutions Based upon the Quantum Chemical Electrostatic Potential and Interaction Energies

Kirkwood-Buff Integrals for Aqueous Urea Solutions Based upon the Quantum Chemical Electrostatic Potential and Interaction Energies Supporting Information for Kirkwood-Buff Integrals for Aqueous Urea Solutions Based upon the Quantum Chemical Electrostatic Potential and Interaction Energies Shuntaro Chiba, 1* Tadaomi Furuta, 2 and Seishi

More information

Peptide folding in non-aqueous environments investigated with molecular dynamics simulations Soto Becerra, Patricia

Peptide folding in non-aqueous environments investigated with molecular dynamics simulations Soto Becerra, Patricia University of Groningen Peptide folding in non-aqueous environments investigated with molecular dynamics simulations Soto Becerra, Patricia IMPORTANT NOTE: You are advised to consult the publisher's version

More information

Development of a simple, self-consistent polarizable model for liquid water

Development of a simple, self-consistent polarizable model for liquid water University of Wollongong Research Online Faculty of Science - Papers (Archive) Faculty of Science, Medicine and Health 2003 Development of a simple, self-consistent polarizable model for liquid water Haibo

More information

Preferential interaction parameters in biological systems by Kirkwood Buff theory and computer simulation

Preferential interaction parameters in biological systems by Kirkwood Buff theory and computer simulation This is the author s final, peer-reviewed manuscript as accepted for publication. The publisher-formatted version may be available through the publisher s web site or your institution s library. Preferential

More information

Supporting Information. for. Influence of Cononsolvency on the. Aggregation of Tertiary Butyl Alcohol in. Methanol-Water Mixtures

Supporting Information. for. Influence of Cononsolvency on the. Aggregation of Tertiary Butyl Alcohol in. Methanol-Water Mixtures Supporting Information for Influence of Cononsolvency on the Aggregation of Tertiary Butyl Alcohol in Methanol-Water Mixtures Kenji Mochizuki,, Shannon R. Pattenaude, and Dor Ben-Amotz Research Institute

More information

Michael W. Mahoney Department of Physics, Yale University, New Haven, Connecticut 06520

Michael W. Mahoney Department of Physics, Yale University, New Haven, Connecticut 06520 JOURNAL OF CHEMICAL PHYSICS VOLUME 115, NUMBER 23 15 DECEMBER 2001 Quantum, intramolecular flexibility, and polarizability effects on the reproduction of the density anomaly of liquid water by simple potential

More information

A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions

A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions JOURNAL OF CHEMICAL PHYSICS VOLUME 112, NUMBER 20 22 MAY 2000 A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions Michael W. Mahoney

More information

Molecular Dynamics Simulations. Dr. Noelia Faginas Lago Dipartimento di Chimica,Biologia e Biotecnologie Università di Perugia

Molecular Dynamics Simulations. Dr. Noelia Faginas Lago Dipartimento di Chimica,Biologia e Biotecnologie Università di Perugia Molecular Dynamics Simulations Dr. Noelia Faginas Lago Dipartimento di Chimica,Biologia e Biotecnologie Università di Perugia 1 An Introduction to Molecular Dynamics Simulations Macroscopic properties

More information

University of Groningen. Characterization of oil/water interfaces van Buuren, Aldert Roelf

University of Groningen. Characterization of oil/water interfaces van Buuren, Aldert Roelf University of Groningen Characterization of oil/water interfaces van Buuren, Aldert Roelf IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it.

More information

Supporting Information

Supporting Information Supporting Information Structure and Dynamics of Uranyl(VI) and Plutonyl(VI) Cations in Ionic Liquid/Water Mixtures via Molecular Dynamics Simulations Katie A. Maerzke, George S. Goff, Wolfgang H. Runde,

More information

New Six-site Acetonitrile Model for Simulations of Liquid Acetonitrile and its Aqueous Mixtures

New Six-site Acetonitrile Model for Simulations of Liquid Acetonitrile and its Aqueous Mixtures New Six-site Acetonitrile Model for Simulations of Liquid Acetonitrile and its Aqueous Mixtures ALEXEI M. NIKITIN, 1,2 ALEXANDER P. LYUBARTSEV 2 1 Engelhardt Institute of Molecular Biology Russian Academy

More information

Hands-on : Model Potential Molecular Dynamics

Hands-on : Model Potential Molecular Dynamics Hands-on : Model Potential Molecular Dynamics OUTLINE 0. DL_POLY code introduction 0.a Input files 1. THF solvent molecule 1.a Geometry optimization 1.b NVE/NVT dynamics 2. Liquid THF 2.a Equilibration

More information

Multiple time step Monte Carlo simulations: Application to charged systems with Ewald summation

Multiple time step Monte Carlo simulations: Application to charged systems with Ewald summation JOURNAL OF CHEMICAL PHYSICS VOLUME 11, NUMBER 1 1 JULY 004 Multiple time step Monte Carlo simulations: Application to charged systems with Ewald summation Katarzyna Bernacki a) Department of Chemistry

More information

The first absorption transition of gas-phase. From Hydrogen Bond to Bulk: Solvation Analysis of the n-π Transition of Formaldehyde in Water

The first absorption transition of gas-phase. From Hydrogen Bond to Bulk: Solvation Analysis of the n-π Transition of Formaldehyde in Water From Hydrogen Bond to Bulk: Solvation Analysis of the n-π Transition of Formaldehyde in Water SYLVIO CANUTO, 1 KALINE COUTINHO 2 1 Institute de Física, Universidade de São Paulo, CP 66318, 05315-970 São

More information

Supporting Information for. Hydrogen Bonding Structure at Zwitterionic. Lipid/Water Interface

Supporting Information for. Hydrogen Bonding Structure at Zwitterionic. Lipid/Water Interface Supporting Information for Hydrogen Bonding Structure at Zwitterionic Lipid/Water Interface Tatsuya Ishiyama,, Daichi Terada, and Akihiro Morita,, Department of Applied Chemistry, Graduate School of Science

More information

Chemical Physics Letters

Chemical Physics Letters Chemical Physics Letters 542 (2012) 37 41 Contents lists available at SciVerse ScienceDirect Chemical Physics Letters journal homepage: www.elsevier.com/locate/cplett Thermal conductivity, shear viscosity

More information

The micro-properties of [hmpy+] [Tf 2 N-] Ionic liquid: a simulation. study. 1. Introduction

The micro-properties of [hmpy+] [Tf 2 N-] Ionic liquid: a simulation. study. 1. Introduction ISBN 978-1-84626-081-0 Proceedings of the 2010 International Conference on Application of Mathematics and Physics Volume 1: Advances on Space Weather, Meteorology and Applied Physics Nanjing, P. R. China,

More information

Molecular Dynamics Simulation Study of the Ionic Mobility of OH Using the OSS2 Model

Molecular Dynamics Simulation Study of the Ionic Mobility of OH Using the OSS2 Model 1154 Bull. Korean Chem. Soc. 2006, Vol. 27, No. 8 Song Hi Lee Molecular Dynamics Simulation Study of the Ionic Mobility of OH Using the OSS2 Model Song Hi Lee Department of Chemistry, Kyungsung University,

More information

Heat capacity of water: a signature of nuclear quantum effects. Abstract

Heat capacity of water: a signature of nuclear quantum effects. Abstract Heat capacity of water: a signature of nuclear quantum effects C. Vega a, M. M. Conde a, C. McBride a, J. L. F. Abascal a, E. G. Noya b, R. Ramirez c and L. M. Sesé d a Departamento de Química Física,

More information

Title Super- and subcritical hydration of Thermodynamics of hydration Author(s) Matubayasi, N; Nakahara, M Citation JOURNAL OF CHEMICAL PHYSICS (2000), 8109 Issue Date 2000-05-08 URL http://hdl.handle.net/2433/50350

More information

On the accurate calculation of the dielectric constant and the diffusion coefficient from molecular dynamics simulations: the case of SPC/E water

On the accurate calculation of the dielectric constant and the diffusion coefficient from molecular dynamics simulations: the case of SPC/E water On the accurate calculation of the dielectric constant and the diffusion coefficient from molecular dynamics simulations: the case of SPC/E water Orsolya Gereben and László Pusztai Research Institute for

More information

The Effect of Model Internal Flexibility Upon NEMD Simulations of Viscosity

The Effect of Model Internal Flexibility Upon NEMD Simulations of Viscosity Draft: September 29, 1999 The Effect of Model Internal Flexibility Upon NEMD Simulations of Viscosity N. G. Fuller 1 and R. L. Rowley 1,2 Abstract The influence of model flexibility upon simulated viscosity

More information

Recent applications of Kirkwood Buff theory to biological systems

Recent applications of Kirkwood Buff theory to biological systems This is the author s final, peer-reviewed manuscript as accepted for publication. The publisher-formatted version may be available through the publisher s web site or your institution s library. Recent

More information

MOLECULAR DYNAMICS SIMULATIONS OF SOLUTION MIXTURES AND SOLUTION/VAPOR INTERFACES FENG CHEN

MOLECULAR DYNAMICS SIMULATIONS OF SOLUTION MIXTURES AND SOLUTION/VAPOR INTERFACES FENG CHEN MOLECULAR DYNAMICS SIMULATIONS OF SOLUTION MIXTURES AND SOLUTION/VAPOR INTERFACES by FENG CHEN B.S., SiChuan University, China, 1999 M.S., Kansas State University, USA, 2003 AN ABSTRACT OF A DISSERTATION

More information

All-atom Molecular Mechanics. Trent E. Balius AMS 535 / CHE /27/2010

All-atom Molecular Mechanics. Trent E. Balius AMS 535 / CHE /27/2010 All-atom Molecular Mechanics Trent E. Balius AMS 535 / CHE 535 09/27/2010 Outline Molecular models Molecular mechanics Force Fields Potential energy function functional form parameters and parameterization

More information

Water models in classical simulations

Water models in classical simulations Water models in classical simulations Maria Fyta Institut für Computerphysik, Universität Stuttgart Stuttgart, Germany Water transparent, odorless, tasteless and ubiquitous really simple: two H atoms attached

More information

Molecular dynamics simulation of limiting conductances for LiCl, NaBr, and CsBr in supercritical water

Molecular dynamics simulation of limiting conductances for LiCl, NaBr, and CsBr in supercritical water JOURNAL OF CHEMICAL PHYSICS VOLUME 112, NUMBER 2 8 JANUARY 2000 Molecular dynamics simulation of limiting conductances for LiCl, NaBr, and CsBr in supercritical water S. H. Lee Department of Chemistry,

More information

Supporting Information for: Physics Behind the Water Transport through. Nanoporous Graphene and Boron Nitride

Supporting Information for: Physics Behind the Water Transport through. Nanoporous Graphene and Boron Nitride Supporting Information for: Physics Behind the Water Transport through Nanoporous Graphene and Boron Nitride Ludovic Garnier, Anthony Szymczyk, Patrice Malfreyt, and Aziz Ghoufi, Institut de Physique de

More information

Medical Research, Medicinal Chemistry, University of Leuven, Leuven, Belgium.

Medical Research, Medicinal Chemistry, University of Leuven, Leuven, Belgium. Supporting Information Towards peptide vaccines against Zika virus: Immunoinformatics combined with molecular dynamics simulations to predict antigenic epitopes of Zika viral proteins Muhammad Usman Mirza

More information

Hydrogen Bond Kinetics in the Solvation Shell of a Polypeptide

Hydrogen Bond Kinetics in the Solvation Shell of a Polypeptide Hydrogen Bond Kinetics in the Solvation Shell of a Polypeptide Huafeng Xu and B.J. Berne Department of Chemistry and Center for Biomolecular Simulation, Columbia University, 3 Broadway, New York, New York

More information

Universal Repulsive Contribution to the. Solvent-Induced Interaction Between Sizable, Curved Hydrophobes: Supporting Information

Universal Repulsive Contribution to the. Solvent-Induced Interaction Between Sizable, Curved Hydrophobes: Supporting Information Universal Repulsive Contribution to the Solvent-Induced Interaction Between Sizable, Curved Hydrophobes: Supporting Information B. Shadrack Jabes, Dusan Bratko, and Alenka Luzar Department of Chemistry,

More information

Force Field for Water Based on Neural Network

Force Field for Water Based on Neural Network Force Field for Water Based on Neural Network Hao Wang Department of Chemistry, Duke University, Durham, NC 27708, USA Weitao Yang* Department of Chemistry, Duke University, Durham, NC 27708, USA Department

More information

Investigations of Freezing Pure Water

Investigations of Freezing Pure Water Investigations of Freezing Pure Water David Meldgin Constanze Kalcher May 2, 2013 Abstract We use a the molecular simulation package LAAMPS to simulate the freezing of water. We analyze the SPC and TIP3P

More information

Molecular dynamics simulation of Aquaporin-1. 4 nm

Molecular dynamics simulation of Aquaporin-1. 4 nm Molecular dynamics simulation of Aquaporin-1 4 nm Molecular Dynamics Simulations Schrödinger equation i~@ t (r, R) =H (r, R) Born-Oppenheimer approximation H e e(r; R) =E e (R) e(r; R) Nucleic motion described

More information

A Nobel Prize for Molecular Dynamics and QM/MM What is Classical Molecular Dynamics? Simulation of explicit particles (atoms, ions,... ) Particles interact via relatively simple analytical potential

More information

Molecular Dynamics Simulation of Methanol-Water Mixture

Molecular Dynamics Simulation of Methanol-Water Mixture Molecular Dynamics Simulation of Methanol-Water Mixture Palazzo Mancini, Mara Cantoni University of Urbino Carlo Bo Abstract In this study some properties of the methanol-water mixture such as diffusivity,

More information

Density dependence of dielectric permittivity of water and estimation of the electric field for the breakdown inception

Density dependence of dielectric permittivity of water and estimation of the electric field for the breakdown inception Journal of Physics: Conference Series PAPER OPEN ACCESS Density dependence of dielectric permittivity of water and estimation of the electric field for the breakdown inception To cite this article: D I

More information

Chemical Potential Derivatives and Preferential Interaction Parameters in Biological Systems from Kirkwood-Buff Theory

Chemical Potential Derivatives and Preferential Interaction Parameters in Biological Systems from Kirkwood-Buff Theory Biophysical Journal Volume 91 August 2006 849 856 849 Chemical Potential Derivatives and Preferential Interaction Parameters in Biological Systems from Kirkwood-Buff Theory Paul E. Smith Department of

More information

Thermodynamics of the Hydration Shell. 2. Excess Volume and Compressibility of a Hydrophobic Solute

Thermodynamics of the Hydration Shell. 2. Excess Volume and Compressibility of a Hydrophobic Solute J. Phys. Chem. 1996, 100, 2681-2688 2681 Thermodynamics of the Hydration Shell. 2. Excess olume and Compressibility of a Hydrophobic Solute Nobuyuki Matubayasi and Ronald M. Levy* Department of Chemistry,

More information

Charge-on-spring polarizable water models revisited: From water clusters to liquid water to ice

Charge-on-spring polarizable water models revisited: From water clusters to liquid water to ice University of Wollongong Research Online Faculty of Science - Papers (Archive) Faculty of Science, Medicine and Health 2004 Charge-on-spring polarizable water models revisited: From water clusters to liquid

More information

Unit Cell-Level Thickness Control of Single-Crystalline Zinc Oxide Nanosheets Enabled by Electrical Double Layer Confinement

Unit Cell-Level Thickness Control of Single-Crystalline Zinc Oxide Nanosheets Enabled by Electrical Double Layer Confinement Unit Cell-Level Thickness Control of Single-Crystalline Zinc Oxide Nanosheets Enabled by Electrical Double Layer Confinement Xin Yin, Yeqi Shi, Yanbing Wei, Yongho Joo, Padma Gopalan, Izabela Szlufarska,

More information

Atomistic nature of NaCl nucleation at the solid-liquid interface

Atomistic nature of NaCl nucleation at the solid-liquid interface THE JOURNAL OF CHEMICAL PHYSICS 126, 044708 2007 Atomistic nature of NaCl nucleation at the solid-liquid interface Yong Yang Institute of Physics, Chinese Academy of Sciences, Box 603, Beijing 100080,

More information

Nonequilibrium Molecular Dynamics Simulations of Shear Viscosity: Isoamyl Alcohol, n-butyl Acetate and Their Mixtures

Nonequilibrium Molecular Dynamics Simulations of Shear Viscosity: Isoamyl Alcohol, n-butyl Acetate and Their Mixtures Draft Date: October 5, 1999 Nonequilibrium Molecular Dynamics Simulations of Shear Viscosity: Isoamyl Alcohol, n-butyl Acetate and Their Mixtures Y. Yang 1, T. A. Pakkanen, 2 and R. L. Rowley 1,3 Draft

More information

k θ (θ θ 0 ) 2 angles r i j r i j

k θ (θ θ 0 ) 2 angles r i j r i j 1 Force fields 1.1 Introduction The term force field is slightly misleading, since it refers to the parameters of the potential used to calculate the forces (via gradient) in molecular dynamics simulations.

More information

MIHALY MEZEI. Department of Physiology and Biophysics, Mount Sinai School of Medicine, CUNY. New York, NY 10029

MIHALY MEZEI. Department of Physiology and Biophysics, Mount Sinai School of Medicine, CUNY. New York, NY 10029 Molecular Simulation, 1992, Vol. 9, pp, 257-261 c Gordon and Breach THEORETICAL CALCULATION OF THE LIQUID-VAPOR COEXISTENCE CURVE OF WATER, CHLOROFORM AND METHANOL WITH THECAVITY-BIASED MONTE CARLO METHOD

More information

Spectroscopy and dynamics of mixtures of water with acetone, acetonitrile, and methanol

Spectroscopy and dynamics of mixtures of water with acetone, acetonitrile, and methanol JOURNAL OF CHEMICAL PHYSICS VOLUME 113, NUMBER 24 22 DECEMBER 2000 Spectroscopy and dynamics of mixtures of water with acetone, acetonitrile, and methanol Dean S. Venables and Charles A. Schmuttenmaer

More information

What is Classical Molecular Dynamics?

What is Classical Molecular Dynamics? What is Classical Molecular Dynamics? Simulation of explicit particles (atoms, ions,... ) Particles interact via relatively simple analytical potential functions Newton s equations of motion are integrated

More information

UB association bias algorithm applied to the simulation of hydrogen fluoride

UB association bias algorithm applied to the simulation of hydrogen fluoride Fluid Phase Equilibria 194 197 (2002) 249 256 UB association bias algorithm applied to the simulation of hydrogen fluoride Scott Wierzchowski, David A. Kofke Department of Chemical Engineering, University

More information

6 Hydrophobic interactions

6 Hydrophobic interactions The Physics and Chemistry of Water 6 Hydrophobic interactions A non-polar molecule in water disrupts the H- bond structure by forcing some water molecules to give up their hydrogen bonds. As a result,

More information

Fast and slow dynamics of hydrogen bonds in liquid water. Abstract

Fast and slow dynamics of hydrogen bonds in liquid water. Abstract Fast and slow dynamics of hydrogen bonds in liquid water Francis W. Starr 1, Johannes K. Nielsen 1,2 & H. Eugene Stanley 1 1 Center for Polymer Studies, Center for Computational Science, and Department

More information

MODEL FOR PREDICTING SOLUBILITY OF FULLERENES IN ORGANIC SOLVENTS. Speaker: Chun I Wang ( 王俊壹 )

MODEL FOR PREDICTING SOLUBILITY OF FULLERENES IN ORGANIC SOLVENTS. Speaker: Chun I Wang ( 王俊壹 ) MODEL FOR PREDICTING SOLUBILITY OF FULLERENES IN ORGANIC SOLVENTS Speaker Chun I Wang ( 王俊壹 ) 2014.11.03 Thermodynamics Concept of Fullerenes Solubility in Organic Solvents Fundamental Thermodynamics G

More information

Example questions for Molecular modelling (Level 4) Dr. Adrian Mulholland

Example questions for Molecular modelling (Level 4) Dr. Adrian Mulholland Example questions for Molecular modelling (Level 4) Dr. Adrian Mulholland 1) Question. Two methods which are widely used for the optimization of molecular geometies are the Steepest descents and Newton-Raphson

More information

Water structure near single and multi-layer nanoscopic hydrophobic plates of varying separation and interaction potentials

Water structure near single and multi-layer nanoscopic hydrophobic plates of varying separation and interaction potentials Bull. Mater. Sci., Vol. 31, No. 3, June 2008, pp. 525 532. Indian Academy of Sciences. Water structure near single and multi-layer nanoscopic hydrophobic plates of varying separation and interaction potentials

More information

Ice: A fruitful source of information about liquid water

Ice: A fruitful source of information about liquid water Journal of Molecular Liquids 136 (2007) 214 220 www.elsevier.com/locate/molliq Ice: A fruitful source of information about liquid water J.L.F. Abascal, R. García Fernández, L.G. MacDowell, E. Sanz, C.

More information

Gibbs ensemble simulation of phase equilibrium in the hard core two-yukawa fluid model for the Lennard-Jones fluid

Gibbs ensemble simulation of phase equilibrium in the hard core two-yukawa fluid model for the Lennard-Jones fluid MOLECULAR PHYSICS, 1989, VOL. 68, No. 3, 629-635 Gibbs ensemble simulation of phase equilibrium in the hard core two-yukawa fluid model for the Lennard-Jones fluid by E. N. RUDISILL and P. T. CUMMINGS

More information

Structure of supercooled and glassy water under pressure

Structure of supercooled and glassy water under pressure Wesleyan University WesScholar Division III Faculty Publications Natural Sciences and Mathematics 1999 Structure of supercooled and glassy water under pressure F. W. Starr Wesleyan University M. C. Bellissent-Funel

More information

Phase transitions of quadrupolar fluids

Phase transitions of quadrupolar fluids Phase transitions of quadrupolar fluids Seamus F. O Shea Department of Chemistry, University of Lethbridge, Lethbridge, Alberta, Canada, T1K 3M4 Girija S. Dubey Brookhaven National Laboratory, Upton, New

More information

Phase Equilibria and Molecular Solutions Jan G. Korvink and Evgenii Rudnyi IMTEK Albert Ludwig University Freiburg, Germany

Phase Equilibria and Molecular Solutions Jan G. Korvink and Evgenii Rudnyi IMTEK Albert Ludwig University Freiburg, Germany Phase Equilibria and Molecular Solutions Jan G. Korvink and Evgenii Rudnyi IMTEK Albert Ludwig University Freiburg, Germany Preliminaries Learning Goals Phase Equilibria Phase diagrams and classical thermodynamics

More information

Equations of State. Equations of State (EoS)

Equations of State. Equations of State (EoS) Equations of State (EoS) Equations of State From molecular considerations, identify which intermolecular interactions are significant (including estimating relative strengths of dipole moments, polarizability,

More information

Dielectric Constant and Structure of Liquid 18-Crown-6 Calculated from Molecular Dynamics Simulations

Dielectric Constant and Structure of Liquid 18-Crown-6 Calculated from Molecular Dynamics Simulations 1024 J. Phys. Chem. B 1997, 101, 1024-1034 Dielectric Constant and Structure of Liquid 18-Crown-6 Calculated from Molecular Dynamics Simulations F. T. H. Leuwerink* and W. J. Briels Chemical Physics Laboratory,

More information

Thermodynamics of Three-phase Equilibrium in Lennard Jones System with a Simplified Equation of State

Thermodynamics of Three-phase Equilibrium in Lennard Jones System with a Simplified Equation of State 23 Bulletin of Research Center for Computing and Multimedia Studies, Hosei University, 28 (2014) Thermodynamics of Three-phase Equilibrium in Lennard Jones System with a Simplified Equation of State Yosuke

More information

Molecular Dynamics Simulation Study of Transport Properties of Diatomic Gases

Molecular Dynamics Simulation Study of Transport Properties of Diatomic Gases MD Simulation of Diatomic Gases Bull. Korean Chem. Soc. 14, Vol. 35, No. 1 357 http://dx.doi.org/1.51/bkcs.14.35.1.357 Molecular Dynamics Simulation Study of Transport Properties of Diatomic Gases Song

More information

An Extended van der Waals Equation of State Based on Molecular Dynamics Simulation

An Extended van der Waals Equation of State Based on Molecular Dynamics Simulation J. Comput. Chem. Jpn., Vol. 8, o. 3, pp. 97 14 (9) c 9 Society of Computer Chemistry, Japan An Extended van der Waals Equation of State Based on Molecular Dynamics Simulation Yosuke KATAOKA* and Yuri YAMADA

More information

On the local and nonlocal components of solvation thermodynamics and their relation to solvation shell models

On the local and nonlocal components of solvation thermodynamics and their relation to solvation shell models JOURNAL OF CHEMICAL PHYSICS VOLUME 109, NUMBER 12 22 SEPTEMBER 1998 On the local and nonlocal components of solvation thermodynamics and their relation to solvation shell models Nobuyuki Matubayasi Institute

More information

Structural order in glassy water

Structural order in glassy water Structural order in glassy water Nicolas Giovambattista, 1 Pablo G. Debenedetti, 1 Francesco Sciortino, 2 and H. Eugene Stanley 3 1 Department of Chemical Engineering, Princeton University, Princeton,

More information

Many-body effects in molecular dynamics simulations of Na+(H20), and Cl-(H20), clusters

Many-body effects in molecular dynamics simulations of Na+(H20), and Cl-(H20), clusters Many-body effects in molecular dynamics simulations of Na+(H20), and Cl-(H20), clusters Lalith Perera and Max L. Berkowitz Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina

More information

Determining the shear viscosity of model liquids from molecular dynamics simulations Hess, Berk

Determining the shear viscosity of model liquids from molecular dynamics simulations Hess, Berk University of Groningen Determining the shear viscosity of model liquids from molecular dynamics simulations Hess, Berk Published in: Journal of Chemical Physics DOI: 1.163/1.1421362 IMPORA OE: You are

More information

Subject of the Lecture:

Subject of the Lecture: Subject of the Lecture: Conceptual basis for the development of force fields. Implementation/validation Water - a worked example Extensions - combining molecular mechanics and quantum mechanics (QM/MM)

More information

Problem 1. Birefringence of a uniaxial material

Problem 1. Birefringence of a uniaxial material Problem 1 Birefringence of a uniaxial material Consider a uniaxial, birefringent material. The direction of propagation of unpolarized light is parallel to the optical axis. Draw a scheme of the experiment

More information

Exercise 2: Solvating the Structure Before you continue, follow these steps: Setting up Periodic Boundary Conditions

Exercise 2: Solvating the Structure Before you continue, follow these steps: Setting up Periodic Boundary Conditions Exercise 2: Solvating the Structure HyperChem lets you place a molecular system in a periodic box of water molecules to simulate behavior in aqueous solution, as in a biological system. In this exercise,

More information

Effect of polarizability of halide anions on the ionic salvation in water clusters

Effect of polarizability of halide anions on the ionic salvation in water clusters University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Xiao Cheng Zeng Publications Published Research - Department of Chemistry 9-22-2003 Effect of polarizability of halide anions

More information

Biomolecules are dynamic no single structure is a perfect model

Biomolecules are dynamic no single structure is a perfect model Molecular Dynamics Simulations of Biomolecules References: A. R. Leach Molecular Modeling Principles and Applications Prentice Hall, 2001. M. P. Allen and D. J. Tildesley "Computer Simulation of Liquids",

More information

MOLECULAR DYNAMICS SIMULATION OF THE STRUCTURE OF C6 ALKANES INTRODUCTION. A. V. Anikeenko, A. V. Kim, and N. N. Medvedev UDC 544.2: 544.

MOLECULAR DYNAMICS SIMULATION OF THE STRUCTURE OF C6 ALKANES INTRODUCTION. A. V. Anikeenko, A. V. Kim, and N. N. Medvedev UDC 544.2: 544. Journal of Structural Chemistry. Vol. 51, No. 6, pp. 1090-1096, 2010 Original Russian Text Copyright 2010 by A. V. Anikeenko, A. V. Kim, and N. N. Medvedev MOLECULAR DYNAMICS SIMULATION OF THE STRUCTURE

More information

Interfacial Thermodynamics of Water and Six Other Liquid Solvents

Interfacial Thermodynamics of Water and Six Other Liquid Solvents pubs.acs.org/jpcb Interfacial Thermodynamics of Water and Six Other Liquid Solvents Tod A. Pascal*, and William A. Goddard, III* Materials and Process Simulation Center, California Institute of Technology,

More information

Hydrophobicity in Lennard-Jones solutions

Hydrophobicity in Lennard-Jones solutions PAPER www.rsc.org/pccp Physical Chemistry Chemical Physics Hydrophobicity in Lennard-Jones solutions Mario Ishizai, Hidei Tanaa and Kenichiro Koga* Received 9th September 2010, Accepted 12th October 2010

More information

Supporting Information for Solid-liquid Thermal Transport and its Relationship with Wettability and the Interfacial Liquid Structure

Supporting Information for Solid-liquid Thermal Transport and its Relationship with Wettability and the Interfacial Liquid Structure Supporting Information for Solid-liquid Thermal Transport and its Relationship with Wettability and the Interfacial Liquid Structure Bladimir Ramos-Alvarado, Satish Kumar, and G. P. Peterson The George

More information

Supporting Information

Supporting Information pk a values of titrable amino acids at the water/membrane interface Vitor H. Teixeira, Diogo Vila-Viçosa, Pedro B. P. S. Reis, and Miguel Machuqueiro Centro de Química e Bioquímica, Departamento de Química

More information

Temperature-Dependent Solubilities and Mean Ionic Activity Coefficients of Alkali Halides in Water from Molecular Dynamics Simulations

Temperature-Dependent Solubilities and Mean Ionic Activity Coefficients of Alkali Halides in Water from Molecular Dynamics Simulations AIP/123-QED Temperature-Dependent Solubilities and Mean Ionic Activity Coefficients of Alkali Halides in Water from Molecular Dynamics Simulations Zoltan Mester and Athanassios Z. Panagiotopoulos Department

More information

Contents. 1 Introduction and guide for this text 1. 2 Equilibrium and entropy 6. 3 Energy and how the microscopic world works 21

Contents. 1 Introduction and guide for this text 1. 2 Equilibrium and entropy 6. 3 Energy and how the microscopic world works 21 Preface Reference tables Table A Counting and combinatorics formulae Table B Useful integrals, expansions, and approximations Table C Extensive thermodynamic potentials Table D Intensive per-particle thermodynamic

More information

Determination of Kamlet-Taft parameters for selected solvate ionic liquids.

Determination of Kamlet-Taft parameters for selected solvate ionic liquids. Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 2016 Determination of Kamlet-Taft parameters for selected solvate ionic liquids. Daniel

More information

Free energy calculations of small molecules in dense amorphous polymers. Effect of the initial guess configuration in molecular dynamics studies

Free energy calculations of small molecules in dense amorphous polymers. Effect of the initial guess configuration in molecular dynamics studies Free energy calculations of small molecules in dense amorphous polymers. Effect of the initial guess configuration in molecular dynamics studies Nico F. A. van der Vegt Chemical Physics Laboratory and

More information

A New Intermolecular Potential Model for the n- Alkane Homologous Series

A New Intermolecular Potential Model for the n- Alkane Homologous Series A New Intermolecular Potential Model for the n- Alkane Homologous Series Jeffrey R. Errington and Athanassios Z. Panagiotopoulos School of Chemical Engineering Cornell University Ithaca, NY 14853 and Institute

More information

The Dominant Interaction Between Peptide and Urea is Electrostatic in Nature: A Molecular Dynamics Simulation Study

The Dominant Interaction Between Peptide and Urea is Electrostatic in Nature: A Molecular Dynamics Simulation Study Dror Tobi 1 Ron Elber 1,2 Devarajan Thirumalai 3 1 Department of Biological Chemistry, The Hebrew University, Jerusalem 91904, Israel 2 Department of Computer Science, Cornell University, Ithaca, NY 14853

More information

Translational and rotational dynamics in supercritical methanol from molecular dynamics simulation*

Translational and rotational dynamics in supercritical methanol from molecular dynamics simulation* Pure Appl. Chem., Vol. 76, No. 1, pp. 203 213, 2004. 2004 IUPAC Translational and rotational dynamics in supercritical methanol from molecular dynamics simulation* Michalis Chalaris and Jannis Samios Physical

More information

Phase Equilibria of binary mixtures by Molecular Simulation and PR-EOS: Methane + Xenon and Xenon + Ethane

Phase Equilibria of binary mixtures by Molecular Simulation and PR-EOS: Methane + Xenon and Xenon + Ethane International Journal of ChemTech Research CODEN( USA): IJCRGG ISSN : 0974-4290 Vol.5, No.6, pp 2975-2979, Oct-Dec 2013 Phase Equilibria of binary mixtures by Molecular Simulation and PR-EOS: Methane +

More information

arxiv: v1 [cond-mat.stat-mech] 25 May 2009

arxiv: v1 [cond-mat.stat-mech] 25 May 2009 Anomalies in water as obtained from computer simulations of the TIP4P/2005 model: density maxima, and density, isothermal compressibility and heat capacity minima arxiv:0905.4009v1 [cond-mat.stat-mech]

More information

Thermodynamic Decomposition of Hydration Free Energies by Computer Simulation: Application to Amines, Oxides, and Sulfides

Thermodynamic Decomposition of Hydration Free Energies by Computer Simulation: Application to Amines, Oxides, and Sulfides J. Phys. Chem. B 1997, 101, 10527-10534 10527 Thermodynamic Decomposition of Hydration Free Energies by Computer Simulation: Application to Amines, Oxides, and Sulfides Masahito Mogami Kubo, Emilio Gallicchio,

More information

This Answer/Solution Example is taken from a student s actual homework report. I thank him for permission to use it here. JG

This Answer/Solution Example is taken from a student s actual homework report. I thank him for permission to use it here. JG This Answer/Solution Example is taken from a student s actual homework report. I thank him for permission to use it here. JG Chem 8021 Spring 2005 Project II Calculation of Self-Diffusion Coeffecient of

More information

On the transferability of the SPCAL water model to biomolecular simulation

On the transferability of the SPCAL water model to biomolecular simulation University of Wollongong Research nline Faculty of Science - Papers (Archive) Faculty of Science, Medicine and Health 004 n the transferability of the SPCAL water model to biomolecular simulation Alice

More information

Mutual diffusion in the ternary mixture of water + methanol + ethanol: Experiments and Molecular Simulation

Mutual diffusion in the ternary mixture of water + methanol + ethanol: Experiments and Molecular Simulation - 1 - Mutual diffusion in the ternary mixture of water + methanol + ethanol: Experiments and Molecular Simulation Tatjana Janzen, Gabriela Guevara-Carrión, Jadran Vrabec University of Paderborn, Germany

More information

Molecular Dynamics Simulation of a Nanoconfined Water Film

Molecular Dynamics Simulation of a Nanoconfined Water Film Molecular Dynamics Simulation of a Nanoconfined Water Film Kyle Lindquist, Shu-Han Chao May 7, 2013 1 Introduction The behavior of water confined in nano-scale environment is of interest in many applications.

More information

Application of the Kirkwood Buff theory of solutions to acetonitrile + amide binary mixtures by using inversion procedure and regular solution theory

Application of the Kirkwood Buff theory of solutions to acetonitrile + amide binary mixtures by using inversion procedure and regular solution theory J. Chem. Sci., Vol. 11, No. 3, May 009, pp. 361 367. Indian cademy of Sciences. pplication of the Kirkwood Buff theory of solutions to acetonitrile + amide binary mixtures by using inversion procedure

More information

Relation between structural and dynamical anomalies in supercooled water

Relation between structural and dynamical anomalies in supercooled water Physica A 314 (2002) 470 476 www.elsevier.com/locate/physa Relation between structural and dynamical anomalies in supercooled water Paulo. A. Netz a, Francis. W. Starr b, Marcia C. Barbosa c;, H. Eugene

More information

Ionic Liquids simulations : obtention of structural and transport properties from molecular dynamics. C. J. F. Solano, D. Beljonne, R.

Ionic Liquids simulations : obtention of structural and transport properties from molecular dynamics. C. J. F. Solano, D. Beljonne, R. Ionic Liquids simulations : obtention of structural and transport properties from molecular dynamics C. J. F. Solano, D. Beljonne, R. Lazzaroni Ionic Liquids simulations : obtention of structural and transport

More information

Introduction to Classical Molecular Dynamics. Giovanni Chillemi HPC department, CINECA

Introduction to Classical Molecular Dynamics. Giovanni Chillemi HPC department, CINECA Introduction to Classical Molecular Dynamics Giovanni Chillemi g.chillemi@cineca.it HPC department, CINECA MD ingredients Coordinates Velocities Force field Topology MD Trajectories Input parameters Analysis

More information

A potential model for the study of ices and amorphous water: TIP4P/Ice

A potential model for the study of ices and amorphous water: TIP4P/Ice THE JOURNAL OF CHEMICAL PHYSICS 122, 234511 2005 A potential model for the study of ices and amorphous water: TIP4P/Ice J. L. F. Abascal, E. Sanz, R. García Fernández, and C. Vega Departamento de Química

More information

COOPERATIVE ORIGIN OF LOW-DENSITY DOMAINS IN LIQUID WATER. Jeffrey R. Errington, Pablo G. Debenedetti *, and Salvatore Torquato

COOPERATIVE ORIGIN OF LOW-DENSITY DOMAINS IN LIQUID WATER. Jeffrey R. Errington, Pablo G. Debenedetti *, and Salvatore Torquato 6/18/02 COOPERATIVE ORIGIN OF LOW-DENSITY DOMAINS IN LIQUID WATER by Jeffrey R. Errington, Pablo G. Debenedetti *, and Salvatore Torquato Department of Chemical Engineering, Princeton University, Princeton,

More information

Computer simulation study of liquid CH 2 F 2 with a new effective pair potential model

Computer simulation study of liquid CH 2 F 2 with a new effective pair potential model JOURNAL OF CHEMICAL PHYSICS VOLUME 110, NUMBER 6 8 FEBRUARY 1999 Computer simulation study of liquid CH 2 F 2 with a new effective pair potential model Pál Jedlovszky a),b) and Mihaly Mezei Department

More information

X B1 X B Quiz Fall points total. 1. Thermodynamics. (50 points)

X B1 X B Quiz Fall points total. 1. Thermodynamics. (50 points) 3.012 Quiz 4 3.012 12.15.03 Fall 2003 100 points total 1. Thermodynamics. (50 points) a. Shown below is a portion of the nickel-titanium binary phase diagram. Using the diagram, answer the questions below.

More information