1st Year Thermodynamic Lectures Dr Mark R. Wormald BIBLIOGRAPHY

Size: px
Start display at page:

Download "1st Year Thermodynamic Lectures Dr Mark R. Wormald BIBLIOGRAPHY"

Transcription

1 M.R.W. -- Thermodynamcs 5 1st Year Thermodynamc Lectures Dr Mark R. Wormald Soluton thermodynamcs :- Lecture 1. Behavour of deal solutons (and solvents). Defnton of dealty. Solvent n dlute solutons, collgatve propertes, osmotc pressure. Lecture 2. Behavour of non-deal solutons (and solutes). Defnton of non-dealty. Actvtes and actvty coeffcents. Lecture 3. Behavour of onc solutons I. Thermodynamcs of hydraton. Introducton to Debye- Hückel Theory. Lecture 4. Behavour of onc solutons II. Result of Debye-Hückel Theory, onc strength. More concentrated onc solutons. BIBLIOGRAPHY N.C. Prce, R.A. Dwek, R.G. Ratclffe and M.R. Wormald (2001) Prncples and Problems n Physcal Bochemstry for Bochemsts, pub. Oxford the standard Oxford 1st year bochemsts text. E.B. Smth, Basc Chemcal Thermodynamcs, pub. Oxford the standard Oxford 1 st year chemsts text, slghtly more advanced and very good. J. Robbns, Ions n soluton (2): an ntroducton to electrochemstry, pub. Oxford the standard Oxford 1 st year chemsts text on electrochemstry, agan slghtly more advanced and very good

2 M.R.W. -- Thermodynamcs 5 APPLICATION OF THERMODYNAMICS As we have seen, the deas / concepts of thermodynamcs are very general, they do not depend on the nature of the system. In order to apply thermodynamcs to chemcal systems we need to combne the thermodynamc equatons wth a model of the nteractons present n the system. If ths works then the model s an adequate descrpton of the system for the propertes we are nterested n. If ths does not work, then the model does not fully descrbe the mportant features and we need to refne our model. As we shall see, the complexty of the model requred depends on the property we are nterested n. For example; Osmotc pressure of a proten soluton Solublty of a proten n soluton requres a very smple model requres a much more complex model AN IDEAL GAS Physcal model: The molecules n an deal gas behave as a set of non-nteractng pont masses. The only nteractons that occur are collsons between the molecules and the walls of the vessel. The number and force of these collsons gve rse to the propertes pressure and temperature. Mathematcal model: PV = nrt where P s pressure, V s volume, n s number of moles present, T s temperature and R s the gas constant. Thermodynamc model: G = G + RT ln (P/P ) n Dervaton of G for an deal gas: G = H TS : H = U + PV : δ U = q + w : TδS = q : PδV = w Substtutng and takng a small ncrement gves; G = U + PV TS δg = δu + PδV + VδP TδS SδT δg = q + w w + VδP q SδT = VδP SδT

3 M.R.W. -- Thermodynamcs 5 At constant temperature, δt = 0 and so δg = VδP. PV = nrt : V = nrt/p δg = nrt/p δp Integraton gves G o G P 1 dg = nrt o dp P P o ( ) o G G = nrt ln(p) ln(p ) P = + o G G RT ln P o n A MIXTURE OF IDEAL GASES Physcal model: The molecules n a mxture of deal gases behave as a set of non-nteractng pont masses, the only nteractons that occur beng collsons. One molecule cannot tell what type of neghbour t has (they do not attract or repel) and so ts chemcal propertes are ndependent of the types of other speces present. Mathematcal model: P = P x : x = n /N total where P s total pressure, P s the partal pressure of component and x s the mole fracton of (number of moles of dvded by total number of moles). [ For nstance, f only 25% of the molecules are of type, then a quarter of the total collson wth the vessel wall wll nvolve molecules and thus molecules wll contrbute a quarter of the total pressure, P = ¼ P. ] Thermodynamc model: µ = µº + RT ln(p /Pº) AN IDEAL SOLUTION Physcal model: The molecules n a lqud must nteract (otherwse t would not be a lqud). In an deal soluton, all the molecules present nteract dentcally. One molecule cannot tell what type of neghbour t has (they attract and repel equally) and so ts chemcal propertes are ndependent of the types of other speces present. Mathematcal model: P = P * x where P * s the vapour pressure of the pure lqud, P s the partal vapour pressure of the component n soluton and x s the mole fracton of. Ths s Raoult s Law

4 M.R.W. -- Thermodynamcs 5 Thermodynamc model: o o [] µ (solu) = µ (l)+ RT ln( x ) = µ (l)+ RT ln [] o DILUTE SOLUTIONS In a pure lqud (whch s deal by defnton, all molecules nteract dentcally), a solvent molecule only nteracts wth other solvent molecules. In a very dlute soluton, a solvent molecule spends almost all the tme nteractng wth other solvent molecules and hence behaves the same as n a pure lqud. Addng another solute molecule; 1. decreases the concentraton of the solvent slghtly. 2. does not ncrease sgnfcantly the tme that a solvent molecule spends nteractng wth solute molecules. Ths meets the crtera for an deal soluton,.e. the chemcal propertes of a gven solvent molecule do not vary wth composton n dlute solutons. The chemcal potental of the solvent s gven by o [solv] µ solv = µ solv + RT ln [solv] o The presence of any solute wll lower the concentraton of the solvent, [solv] < [solv]º and ln([solv]/[solv]º) <

5 M.R.W. -- Thermodynamcs 5 Thus addton of solute wll lower the chemcal potental of the solvent,.e. the solvent wll be more stable n a dlute soluton than n the pure lqud. COLLIGATIVE PROPERTIES These are propertes of the system that depend only on the number of solute molecules present not on the type of solute molecules. There are three major collgatve propertes: Depresson of freezng pont. Elevaton of bolng pont. Solvent dffuson/osmotc pressure. Only the thrd of these, osmotc pressure, s very sgnfcant n bologcal systems. CHANGES IN FREEZING AND BOILING POINTS Sold Lqud Gas µ solv (s) = µ o solv(s) µ solv (l) = µ o solv(l) + RT ln([solv]/[solv]º) µ solv (g) = µ o solv(g) + RT ln(p solv /P o ) = µ o solv(g) at 1 atms G Sold Lqud Lqud + solute Gas Thus, the presence of the solute lowers the chemcal potental of the solvent n the lqud phase, but does not effect the chemcal potental n any other phase. The freezng pont wll be lowered and the bolng pont rased. T OSMOTIC PRESSURE Consder pure solvent (e.g. water) contaned nsde a bath of solvent + solute (e.g. water + NaCl) by a barrer permeable only to the solvent (e.g. a cell membrane)

6 M.R.W. -- Thermodynamcs 5 Insde Pure lqud µ In solv(l) = µ o solv(l) Outsde Soluton µ Out solv(l) = µ o solv(l) + RT ln([solv] Out /[solv]º) As [solv] Out < [solv]º, At equlbrum, µ In solv(l) > µ Out solv(l) µ In solv(l) = µ Out solv(l) Solvent transfer wll occur from n to out untl [solv] Out the same as [solv] In. Ths can never be reached, thus solvent transfer wll contnue untl there s no solvent remanng on the nsde. Consder the reverse stuaton, pure solvent + solute (e.g. water + proten) contaned nsde a bath of solvent (e.g. water) by a barrer permeable only to the solvent (e.g. a cell membrane). Insde Soluton µ In solv(l) = µ o solv(l) + RT ln([solv] In /[solv]º) Outsde Pure lqud µ Out solv(l) = µ o solv(l) As [solv] n < [solv]º, At equlbrum, µ In solv(l) < µ Out solv(l) µ In solv(l) = µ Out solv(l) Solvent transfer wll occur from out to n untl [solv] In = [solv] Out. Ths can never be reached, thus solvent transfer wll contnue untl there s no solvent remanng on the outsde or untl the membrane bursts. If the pressure s allowed to ncrease nsde, the pressure dfference ( P) between nsde and outsde (pushng solvent out) wll provde a counterbalancng force to the chemcal potental dfference (pushng solvent n). Ths requres a membrane strong enough to wthstand the nternal pressure (e.g. a cell wall)

7 M.R.W. -- Thermodynamcs 5 The change n chemcal potental wth pressure s gven by; δµ δp T where V s the partal molar volume of component. = V For a pressure dfference of P, the change n chemcal potental s then gven by; δµ = V P Thus; Insde Soluton µ In solv(l) = µ o solv(l) + RT ln([solv] In /[solv]º) + V solv P Outsde Pure lqud µ Out solv(l) = µ o solv(l) At equlbrum; thus; µ In solv(l) = µ Out solv(l) µ o solv(l) + RT ln([solv] In /[solv]º) + V solv P = µ o solv(l) Rearrangng gves; V solv P = - RT ln([solv] In /[solv]º) P s the osmotc pressure (sometmes represented as Π). Ths equaton can be smplfed usng; [solv] In /[solv]º = x solv = 1 - x solute 1 ln(x solv ) = - x solute and Thus; x solute / V solv = [solute] (molarty) P = RT.[solute]

8 M.R.W. -- Thermodynamcs 6 NON-IDEAL SOLUTIONS In an deal soluton, all the molecules present nteract dentcally and thus as the composton changes the chemcal propertes of any gven molecule do not change. Ths s obvously ncorrect n the vast majorty of cases. SOLUTE IN DILUTE SOLUTIONS The solvent n very dlute solutons can often be treated as deal because most solvent molecules are surrounded by other solvent molecules. The solute molecules are mostly surrounded by solvent molecules. At low concentratons the ntermolecular nteractons wll reman constant, regardless of the solute concentraton (untl solute molecules start nteractng wth each other). Ths meets the crtera for an deal soluton,.e. the chemcal propertes of a gven solute molecule do not vary wth composton n dlute solutons. However, the nature of the nteractons are not the same as n the pure lqud of the solute. We can deal wth ths by changng the standard state that we refer to. Standard state for a solute soluton of 1 M solute n whch the only sgnfcant nteractons are those between the solute and solvent molecules. The chemcal potental of an deal solute s then stll gven by µ = µ + RT ln([]/[] ) except that [] 1 M (not the concentraton of the solute n the pure lqud) µ chemcal potental of the solute at 1M concentraton assumng that the only nteractons are those wth solvent molecules (not the chemcal potental of the solute n the pure lqud) The assumpton that only nteractons between the solute and solvent molecules are sgnfcant s usually not vald at 1M concentraton, only at much, much lower concentraton. Thus µ º s not the chemcal potental of a 1 M soluton, but the chemcal potental of a very dlute soluton extrapolated to 1M. NON-IDEAL SOLUTIONS The equaton µ = µ + RT ln([]/[] ) works at very low concentratons of solute for both the solute and the solvent (assumng that we use the correct standard state). For hgher concentratons of solute ths equaton does not work. There are three approaches we can use at these concentratons: 1. Model the behavor emprcally (useful for extrapolatng to low concentratons). 2. Introduce a fudge factor to get the equaton to work. 3. Understand what s gong on so that we can correctly predct behavour (.e. get the correct equaton). VIRIAL EQUATIONS Many complex functons can be represented by a polynomal seres such as; f(x) = A + Bx + Cx 2 + Dx 3 + Ex 4 + Fx

9 M.R.W. -- Thermodynamcs 6 A, B, C, etc. are emprcally determned constants, called vral coeffcents. Ths s only a useful expanson f most of the hgher order coeffcents are zero. VIRIAL EQUATION FOR GASES The defnton of an deal gas s gven by the equaton PV = nrt. Most gases only obey ths equaton at low pressures. For non-deal gases, the equaton of state can be gven by; PV = 1 + B.P + C.P 2 + D.P nrt VIRIAL EQUATION FOR OSMOTIC PRESSURE For the solvent n an deal soluton, the osmotc pressure s gven by P = RT [solute] For the solvent n a non-deal soluton, the osmotc pressure can be wrtten as P = RT ([solute] + A[solute] 2 + B[solute] 3 + ) A, B, etc., are emprcal constants that have to be found by fttng to the expermental data. Usually B, C, etc. are all assumed to be zero. In ths case, a plot of P/RT[solute] versus [solute] should be a straght lne. CHEMICAL ACTIVITIES a - Actvty = Effectve concentraton Ths s defned by the equaton µ = µ o + RT ln (a ) whch s deemed to hold at all concentratons. The actvty coeffcent, γ, s defned as; ACTIVITY COEFFICIENTS γ a [] = = Effectve concentraton Real concentraton When the actvty coeffcent of a component s 1, a = x and the component shows deal behavour. Chemcal potentals are then gven by; o [] µ = µ + RT ln γ o [] All thermodynamc equatons only work f we use actvtes, not concentratons. For example, consder the reacton ATP(aq) + H 2 O ADP(aq) + P (aq) + H + (aq) The true equlbrum constant s gven by

10 M.R.W. -- Thermodynamcs 6 a a a γ γ γ [ADP] [P] [H ] K = = a a γ γ [ATP] [H O] + ADP P + ADP P + H H eq eq eq ATP HO 2 ATP HO 2 eq 2 eq The apparent equlbrum constant s gven by app K = [ADP] [P] [H ] + eq eq eq [ATP] [H O] eq 2 eq K s always constant, K app s not. K = γ γ γ ADP P + H app γ ATP γ HO 2 K DEMYSTIFYING ACTIVITY COEFFICIENTS The equaton can be rewrtten as µ = µ + RT In(γ []/[] ) µ = µ + RT ln([]/[] ) + RT ln(γ ) µ = µ (deal) + RT ln(γ ) Thus, RT ln(γ ) s the quanttatve value of the non-deal contrbuton to the chemcal potental. RT ln(γ ) measure of the H and S contrbutons of any ntermolecular nteractons not ncluded n the standard state ln (γ ) sucrose 0 glycne Ideal glycolamde NaCl CaCl 2 LaCl 3 []

11 M.R.W. -- Thermodynamcs 7 IONIC SOLUTIONS AT INFINITE DILUTION Hydraton shell : layer of water molecules bound to an on. 1 st solvaton shell s bound drectly to the on, 2 nd hydraton shell s the next layer out, etc. Hydraton number :- The hydraton number s the number of water molecules on average bound to an on. These water molecules cannot be consdered as part of the bulk solvent because ther propertes are the not same as free water molecules. Hydrated rad :- The effectve radus of a hydrated on s gven by the sum of the onc radus and the solvaton shell. Because small ons have larger solvaton shells, they have larger hydrated rad (behave n soluton as though they were bgger) than large ons. In general an on wth a smaller radus and/or hgher charge wll have more solvaton shells a larger hydraton number a larger hydrated radus because they have stronger electrostatc nteractons wth the solvent. Enthalpy of hydraton : Gan of nteractons between solute ons and solvent molecules (monopole-dpole). Loss of nteractons between solvent molecules (dpole-dpole, hydrogen bonds). Ths leads to a large, negatve H (.e. favourable). Entropy of hydraton : Gan of entropy assocated wth the mxng of the solvent molecules and solute ons. Loss of entropy assocated wth the orderng of solvent molecules. Loss of entropy assocated wth the unsolvated solute ons. Ths leads to a small, and usually negatve S (.e. unfavourable). Note: f ons are n a crystal then there are extra H and S terms to consder. Ion H S G (kj mol -1 ) (J mol -1 K -1 ) (kj mol -1 ) Na K Mg Ca Cl Ar Fgures nclude the loss of entropy assocated wth the gas, as well as the entropy change of the solvent. The free energy term s domnated by H. IONIC SOLUTIONS AT FINITE DILUTION In the standard state of an onc solute, at nfnte dluton, each on s solvated by a sphere of water molecules. Ths wll stablse the ons through charge-dpole nteractons. At low concentratons of an onc solute, the solvated ons are surrounded by a cloud of oppostely charged solvated ons. Ths wll stablse the ons through charge-charge nteractons and thus lower ther chemcal potental

12 M.R.W. -- Thermodynamcs 7 DEBYE-HÜCKEL THEORY The object s to calculate the work requred to take one mole of solute ons from an deal soluton to a non-deal soluton, assumng that only solute-solute electrostatc nteractons are mportant. Calculatng the electrostatc nteractons n a dynamc system s more dffcult because the dstances between the ons change wth tme. Soluton: 1. Take lots of snapshots of the system at dfferent tmes. 2. Perform the calculaton on each structure. 3. Average the results. Ths wll work as long as we take enough snapshots to represent most of the possble states of the system (n buzz words fully explore the conformatonal and confguratonal space of the system). Ths s a very general approach used n most types of molecular modellng (called a Monte-Carlo calculaton). 1. Consder all ons relatve to a test on, j. Method :- 2. Take a random arrangement of all the other ons around ths test on. 3. Calculate the probablty of ths random arrangement occurrng (usng the Boltzmann equaton). 4. Calculate the electrcal potental at the test on as a result of ths random arrangement (usng the Posson equaton). 5. Repeat steps 2-4 for all possble arrangements of ons and sum all the weghted electrcal potentals. 6. Calculate the stablsaton of the test on due to the average electrcal potental. Assumptons :- 1. The solute s present n soluton as sngle solvated ons (there s no on par formaton). 2. The ons are regarded as pont charges. 3. Only coulombc nteractons are consdered. 4. The solvent s treated as a contnuous medum (ts molecular nature s gnored) unaffected by the presence of the ons. 5. The thermal energy of the soluton s much larger than the electrostatc nteractons. All these assumptons hold n dlute solutons. Basc equatons :- Boltzmann equaton - The number of ons per unt volume, n (r), found at a dstance r from the test on s gven by; n (r) = N.exp -U(r) kt where N s the total number of ons per unt volume, U(r) s ther potental energy, k s the Boltzmann constant and T s the temperature

13 M.R.W. -- Thermodynamcs 7 Posson equaton - The electrcal potental at a dstance r from the test on, Φ(r), for a sphercally symmetrc system s gven by; r 1 2 δ r δr 2 δ Φ(r) δr ( ) = - 1 r ε ρ where ε s the permttvty of the medum and ρ(r) s charge densty at a dstance r from the test on. Potental energy - The potental energy, U(r), of an on wth charge z.e at a dstance r from the test on s gven by; U(r) = z.e. Φ (r) where e s the charge of an electron and Φ(r) s the electrcal potental at a dstance r from the test on. Charge densty - The charge densty (net charge per unt volume), ρ(r), at a dstance r from the test on s gven by; ρ(r) = n (r).z.e

14 M.R.W. -- Thermodynamcs 8 SOLUTION OF THE DEBYE-HÜCKEL THEORY The fnal result of the Posson-Boltzmann equaton s the smple Debye-Hückel equaton; log ( γ ) = - A.z 2 10 I where A s a constant, ndependent of the speces present n soluton, gven by; 3 3 e 10L A = 0.5 (n aqueous soluton) kt ( π) ( ε ) and I s the onc strength of the soluton, dependent on composton, gven by; Ionc Strength = I = 1 [j]z 2 j 2 j Mean actvty coeffcents :- In practce, t s not possble to measure γ j for a sngle on as there are always counter ons present. Thus, we defne a mean actvty coeffcent γ ± as; gvng; + + ( + ) 1 z z = z z ± γ γ γ log( γ ) = -A z z I ± + - Ths s known as the Debye-Hückel lmtng law. 1. Ions are always stablsed by the presence of other ons n soluton (log 10 (γ ) < 0, so γ I < 1). 2. Hgher charged ons are stablsed more than lower charged ons by other ons n soluton. 3. Ths stablsaton depends on the concentraton and charges of the other ons, not ther chemcal dentty. 4. There should be a lnear relatonshp between log 10 (γ ) and I, the gradent of the lne dependng on the charges of the ons. All these predctons are found expermentally to hold at low onc strength, but only at low onc strength

15 M.R.W. -- Thermodynamcs 8 log 10 γ ± NaCl ZnCl2 Ideal behavour 1:1 2: : ½ I (M ) NON-ZERO ION SIZES One approxmaton of the Debye-Hückel theory s that ons are pont charges. They can thus approach nfntely closely. Ths approxmaton does not matter at very hgh dluton where the ons are, on average, far apart, but causes errors at lower dlutons. Ths mnmum dstance of approach (a) can be ncluded n the Debye-Hückel calculaton, gvng the full Debye-Hückel equaton; Az 2 log( γ ) = B a I I where B s another constant, ndependent of the soluton, and a s the sum of the onc rad (r + + r - ). IONIC SOLUTIONS AT HIGHER IONIC STRENGTHS In the standard state of an onc solute, at nfnte dluton, each on s solvated by a sphere of water molecules. At low concentratons of an onc solute, the ons are surrounded by a cloud of oppostely charged ons, stablsng the soluton. At hgh concentratons of an onc solute, there wll not be enough water molecules around to solvate all the ons present, thus there wll be a destablsng effect on the soluton. At very hgh concentratons of an onc solute n water, on par formaton (A + + B - AB) becomes mportant, changng both the type of speces present and the onc strength of the soluton. EQUILIBRIUM CONSTANTS IN SOLUTION K = products reactants [x ] γ [x ] γ γ products = K γ reactants m The true equlbrum constant, K (defned n terms of actvtes), s a constant, the apparent equlbrum constant, K m (defned n terms of concentratons), s not. SALTING IN AND SALTING OUT OF PROTEINS K [a S Proten(aq) ] Proten(s) Proten(aq) : K s = = γ[proten(aq)] [a ] Proten(s) K s s a constant, thus as γ changes the actual concentraton n soluton, [Proten(aq)], must change. γ < 1 Increased solublty Saltng n

16 M.R.W. -- Thermodynamcs 8 γ > 1 Decreased solublty Saltng out Protens often have a hgh charge so the effect of onc strength on γ s large. Dfferent protens have dfferent charges and so respond to changes n onc strength n dfferent ways. CHARGED MEMBRANES The equvalent model of the Debye-Hückel theory for membranes s the Gouy-Chapman theory. Ion concentratons close to membranes -- The electrostatc effects of a membrane are strong enough to alter the actual concentratons of ons near to the membrane. Ions of opposte charges are attracted to the membrane, ons of smlar charges are repelled. These nteractons can be strong enough to result n a layer of ons bound drectly to the membrane surface. Ion actvtes close to membranes -- The presence of the charged membrane wll effect the chemcal potentals of ons nearby. Ths s drectly analogous to the Debye-Hückel theory, the membrane contrbutng to the effectve onc strength of the soluton

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9. 9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

Gouy-Chapman model (1910) The double layer is not as compact as in Helmholtz rigid layer.

Gouy-Chapman model (1910) The double layer is not as compact as in Helmholtz rigid layer. CHE465/865, 6-3, Lecture 1, 7 nd Sep., 6 Gouy-Chapman model (191) The double layer s not as compact as n Helmholtz rgd layer. Consder thermal motons of ons: Tendency to ncrease the entropy and make the

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Gasometric Determination of NaHCO 3 in a Mixture

Gasometric Determination of NaHCO 3 in a Mixture 60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

1. Mean-Field Theory. 2. Bjerrum length

1. Mean-Field Theory. 2. Bjerrum length 1. Mean-Feld Theory Contnuum models lke the Posson-Nernst-Planck equatons are mean-feld approxmatons whch descrbe how dscrete ons are affected by the mean concentratons c and potental φ. Each on mgrates

More information

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

More information

Name ID # For relatively dilute aqueous solutions the molality and molarity are approximately equal.

Name ID # For relatively dilute aqueous solutions the molality and molarity are approximately equal. Name ID # 1 CHEMISTRY 212, Lect. Sect. 002 Dr. G. L. Roberts Exam #1/Sprng 2000 Thursday, February 24, 2000 CLOSED BOOK EXM No notes or books allowed. Calculators may be used. tomc masses of nterest are

More information

...Thermodynamics. If Clausius Clapeyron fails. l T (v 2 v 1 ) = 0/0 Second order phase transition ( S, v = 0)

...Thermodynamics. If Clausius Clapeyron fails. l T (v 2 v 1 ) = 0/0 Second order phase transition ( S, v = 0) If Clausus Clapeyron fals ( ) dp dt pb =...Thermodynamcs l T (v 2 v 1 ) = 0/0 Second order phase transton ( S, v = 0) ( ) dp = c P,1 c P,2 dt Tv(β 1 β 2 ) Two phases ntermngled Ferromagnet (Excess spn-up

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

Appendix II Summary of Important Equations

Appendix II Summary of Important Equations W. M. Whte Geochemstry Equatons of State: Ideal GasLaw: Coeffcent of Thermal Expanson: Compressblty: Van der Waals Equaton: The Laws of Thermdynamcs: Frst Law: Appendx II Summary of Important Equatons

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 16 8/4/14 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 214. Real Vapors and Fugacty Henry s Law accounts or the propertes o extremely dlute soluton. s shown n Fgure

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

Solution Thermodynamics

Solution Thermodynamics CH2351 Chemcal Engneerng Thermodynamcs II Unt I, II www.msubbu.n Soluton Thermodynamcs www.msubbu.n Dr. M. Subramanan Assocate Professor Department of Chemcal Engneerng Sr Svasubramanya Nadar College of

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling Overhead Sldes for Chapter 18, Part 1 of Fundamentals of Atmospherc Modelng by Mark Z. Jacobson Department of Cvl & Envronmental Engneerng Stanford Unversty Stanford, CA 94305-4020 January 30, 2002 Types

More information

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University General Thermodynamcs for Process Smulaton Dr. Jungho Cho, Professor Department of Chemcal Engneerng Dong Yang Unversty Four Crtera for Equlbra μ = μ v Stuaton α T = T β α β P = P l μ = μ l1 l 2 Thermal

More information

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands The ChemSep Book Harry A. Koojman Consultant Ross Taylor Clarkson Unversty, Potsdam, New York Unversty of Twente, Enschede, The Netherlands Lbr Books on Demand www.bod.de Copyrght c 2000 by H.A. Koojman

More information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

Electrochemical Equilibrium Electromotive Force

Electrochemical Equilibrium Electromotive Force CHM465/865, 24-3, Lecture 5-7, 2 th Sep., 24 lectrochemcal qulbrum lectromotve Force Relaton between chemcal and electrc drvng forces lectrochemcal system at constant T and p: consder Gbbs free energy

More information

4.2 Chemical Driving Force

4.2 Chemical Driving Force 4.2. CHEMICL DRIVING FORCE 103 4.2 Chemcal Drvng Force second effect of a chemcal concentraton gradent on dffuson s to change the nature of the drvng force. Ths s because dffuson changes the bondng n a

More information

Osmotic pressure and protein binding

Osmotic pressure and protein binding Osmotc pressure and proten bndng Igor R. Kuznetsov, KochLab Symposum talk 5/15/09 Today we take a closer look at one of the soluton thermodynamcs key ponts from Steve s presentaton. Here t s: d[ln(k off

More information

CHEMICAL ENGINEERING

CHEMICAL ENGINEERING Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton

More information

3. Be able to derive the chemical equilibrium constants from statistical mechanics.

3. Be able to derive the chemical equilibrium constants from statistical mechanics. Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be

More information

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Chapter 2. Electrode/electrolyte interface: ----Structure and properties

Chapter 2. Electrode/electrolyte interface: ----Structure and properties Chapter 2 Electrode/electrolyte nterface: ----Structure and propertes Electrochemcal reactons are nterfacal reactons, the structure and propertes of electrode / electrolytc soluton nterface greatly nfluences

More information

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0 1) Slcon oxde has a typcal surface potental n an aqueous medum of ϕ, = 7 mv n 5 mm l at ph 9. Whch concentraton of catons do you roughly expect close to the surface? What s the average dstance between

More information

5.60 Thermodynamics & Kinetics Spring 2008

5.60 Thermodynamics & Kinetics Spring 2008 MIT OpenCourseWare http://ocw.mt.edu 5.60 Thermodynamcs & Knetcs Sprng 2008 For nformaton about ctng these materals or our Terms of Use, vst: http://ocw.mt.edu/terms. 5.60 Sprng 2008 Lecture #29 page 1

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

Lecture 7: Boltzmann distribution & Thermodynamics of mixing

Lecture 7: Boltzmann distribution & Thermodynamics of mixing Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

More information

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys

More information

CHEMISTRY Midterm #2 answer key October 25, 2005

CHEMISTRY Midterm #2 answer key October 25, 2005 CHEMISTRY 123-01 Mdterm #2 answer key October 25, 2005 Statstcs: Average: 70 pts (70%); Hghest: 97 pts (97%); Lowest: 33 pts (33%) Number of students performng at or above average: 62 (63%) Number of students

More information

PART I: MULTIPLE CHOICE (32 questions, each multiple choice question has a 2-point value, 64 points total).

PART I: MULTIPLE CHOICE (32 questions, each multiple choice question has a 2-point value, 64 points total). CHEMISTRY 123-07 Mdterm #2 answer key November 04, 2010 Statstcs: Average: 68 p (68%); Hghest: 91 p (91%); Lowest: 37 p (37%) Number of students performng at or above average: 58 (53%) Number of students

More information

STATISTICAL MECHANICS

STATISTICAL MECHANICS STATISTICAL MECHANICS Thermal Energy Recall that KE can always be separated nto 2 terms: KE system = 1 2 M 2 total v CM KE nternal Rgd-body rotaton and elastc / sound waves Use smplfyng assumptons KE of

More information

V. Electrostatics. Lecture 25: Diffuse double layer structure

V. Electrostatics. Lecture 25: Diffuse double layer structure V. Electrostatcs Lecture 5: Dffuse double layer structure MIT Student Last tme we showed that whenever λ D L the electrolyte has a quas-neutral bulk (or outer ) regon at the geometrcal scale L, where there

More information

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set

More information

5.62 Physical Chemistry II Spring 2008

5.62 Physical Chemistry II Spring 2008 MIT OpenCourseWare http://ocw.mt.edu 5.62 Physcal Chemstry II Sprng 2008 For nformaton about ctng these materals or our Terms of Use, vst: http://ocw.mt.edu/terms. 5.62 Sprng 2008 Lecture 34 Page Transton

More information

NAME and Section No. it is found that 0.6 mol of O

NAME and Section No. it is found that 0.6 mol of O NAME and Secton No. Chemstry 391 Fall 7 Exam III KEY 1. (3 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). In the reacton 3O O3 t s found that.6 mol of O are consumed. Fnd

More information

Q e E i /k B. i i i i

Q e E i /k B. i i i i Water and Aqueous Solutons 3. Lattce Model of a Flud Lattce Models Lattce models provde a mnmalst, or coarse-graned, framework for descrbng the translatonal, rotatonal, and conformatonal degrees of freedom

More information

Problem Points Score Total 100

Problem Points Score Total 100 Physcs 450 Solutons of Sample Exam I Problem Ponts Score 1 8 15 3 17 4 0 5 0 Total 100 All wor must be shown n order to receve full credt. Wor must be legble and comprehensble wth answers clearly ndcated.

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 12 7/25/14 ERD: 7.1-7.5 Devoe: 8.1.1-8.1.2, 8.2.1-8.2.3, 8.4.1-8.4.3 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 2014 A. Free Energy and Changes n Composton: The

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Name: SID: Dscusson Sesson: Chemcal Engneerng Thermodynamcs 141 -- Fall 007 Thursday, November 15, 007 Mdterm II SOLUTIONS - 70 mnutes 110 Ponts Total Closed Book and Notes (0 ponts) 1. Evaluate whether

More information

Chapter 3 Thermochemistry of Fuel Air Mixtures

Chapter 3 Thermochemistry of Fuel Air Mixtures Chapter 3 Thermochemstry of Fuel Ar Mxtures 3-1 Thermochemstry 3- Ideal Gas Model 3-3 Composton of Ar and Fuels 3-4 Combuston Stochometry t 3-5 The1 st Law of Thermodynamcs and Combuston 3-6 Thermal converson

More information

G4023 Mid-Term Exam #1 Solutions

G4023 Mid-Term Exam #1 Solutions Exam1Solutons.nb 1 G03 Md-Term Exam #1 Solutons 1-Oct-0, 1:10 p.m to :5 p.m n 1 Pupn Ths exam s open-book, open-notes. You may also use prnt-outs of the homework solutons and a calculator. 1 (30 ponts,

More information

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton

More information

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak Thermodynamcs II Department of Chemcal Engneerng Prof. Km, Jong Hak Soluton Thermodynamcs : theory Obectve : lay the theoretcal foundaton for applcatons of thermodynamcs to gas mxture and lqud soluton

More information

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro

More information

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation:

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation: CE304, Sprng 2004 Lecture 22 Lecture 22: Topcs n Phase Equlbra, part : For the remander of the course, we wll return to the subject of vapor/lqud equlbrum and ntroduce other phase equlbrum calculatons

More information

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem SOLUTION TO HOMEWORK #7 #roblem 1 10.1-1 a. In order to solve ths problem, we need to know what happens at the bubble pont; at ths pont, the frst bubble s formed, so we can assume that all of the number

More information

Electrostatic Potential from Transmembrane Currents

Electrostatic Potential from Transmembrane Currents Electrostatc Potental from Transmembrane Currents Let s assume that the current densty j(r, t) s ohmc;.e., lnearly proportonal to the electrc feld E(r, t): j = σ c (r)e (1) wth conductvty σ c = σ c (r).

More information

Lecture 14: Forces and Stresses

Lecture 14: Forces and Stresses The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal

More information

Physics 207: Lecture 20. Today s Agenda Homework for Monday

Physics 207: Lecture 20. Today s Agenda Homework for Monday Physcs 207: Lecture 20 Today s Agenda Homework for Monday Recap: Systems of Partcles Center of mass Velocty and acceleraton of the center of mass Dynamcs of the center of mass Lnear Momentum Example problems

More information

V T for n & P = constant

V T for n & P = constant Pchem 365: hermodynamcs -SUMMARY- Uwe Burghaus, Fargo, 5 9 Mnmum requrements for underneath of your pllow. However, wrte your own summary! You need to know the story behnd the equatons : Pressure : olume

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

PETE 310 Lectures # 24 & 25 Chapter 12 Gas Liquid Equilibrium

PETE 310 Lectures # 24 & 25 Chapter 12 Gas Liquid Equilibrium ETE 30 Lectures # 24 & 25 Chapter 2 Gas Lqud Equlbrum Thermal Equlbrum Object A hgh T, Object B low T Intal contact tme Intermedate tme. Later tme Mechancal Equlbrum ressure essels Vale Closed Vale Open

More information

Homework Chapter 21 Solutions!!

Homework Chapter 21 Solutions!! Homework Chapter 1 Solutons 1.7 1.13 1.17 1.19 1.6 1.33 1.45 1.51 1.71 page 1 Problem 1.7 A mole sample of oxygen gas s confned to a 5 lter vessel at a pressure of 8 atm. Fnd the average translatonal knetc

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

More information

a for save as PDF Chemistry 163B Introduction to Multicomponent Systems and Partial Molar Quantities

a for save as PDF Chemistry 163B Introduction to Multicomponent Systems and Partial Molar Quantities a for save as PDF Chemstry 163B Introducton to Multcomponent Systems and Partal Molar Quanttes 1 the problem of partal mmolar quanttes mx: 10 moles ethanol C 2 H 5 OH (580 ml) wth 1 mole water H 2 O (18

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

SOLUTION/EXAMPLES. Contact during the exam: phone: , EXAM TBT4135 BIOPOLYMERS. 14 December Time:

SOLUTION/EXAMPLES. Contact during the exam: phone: , EXAM TBT4135 BIOPOLYMERS. 14 December Time: 1 NRWEGIN UNIVERSITY F SCIENCE ND TECHNLGY DEPRTMENT F BITECHNLGY Professor Bjørn E. Chrstensen, Department of Botechnology Contact durng the exam: phone: 73593327, 92634016 EXM TBT4135 BIPLYMERS 14 December

More information

ESCI 341 Atmospheric Thermodynamics Lesson 10 The Physical Meaning of Entropy

ESCI 341 Atmospheric Thermodynamics Lesson 10 The Physical Meaning of Entropy ESCI 341 Atmospherc Thermodynamcs Lesson 10 The Physcal Meanng of Entropy References: An Introducton to Statstcal Thermodynamcs, T.L. Hll An Introducton to Thermodynamcs and Thermostatstcs, H.B. Callen

More information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,

More information

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization 10.34 Numercal Methods Appled to Chemcal Engneerng Fall 2015 Homework #3: Systems of Nonlnear Equatons and Optmzaton Problem 1 (30 ponts). A (homogeneous) azeotrope s a composton of a multcomponent mxture

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we hermodynamcs, Statstcal hermodynamcs, and Knetcs 4 th Edton,. Engel & P. ed Ch. 6 Part Answers to Selected Problems Q6.. Q6.4. If ξ =0. mole at equlbrum, the reacton s not ery far along. hus, there would

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force. The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,

More information

Electrochemistry Thermodynamics

Electrochemistry Thermodynamics CHEM 51 Analytcal Electrochemstry Chapter Oct 5, 016 Electrochemstry Thermodynamcs Bo Zhang Department of Chemstry Unversty of Washngton Seattle, WA 98195 Former SEAC presdent Andy Ewng sellng T-shrts

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

Physics 114 Exam 2 Fall 2014 Solutions. Name:

Physics 114 Exam 2 Fall 2014 Solutions. Name: Physcs 114 Exam Fall 014 Name: For gradng purposes (do not wrte here): Queston 1. 1... 3. 3. Problem Answer each of the followng questons. Ponts for each queston are ndcated n red. Unless otherwse ndcated,

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Solutions Review Worksheet

Solutions Review Worksheet Solutons Revew Worksheet NOTE: Namng acds s ntroduced on pages 163-4 and agan on pages 208-9.. You learned ths and were quzzed on t, but snce acd names are n the Data Booklet you wll not be tested on ths

More information

Vapor-Liquid Equilibria for Water+Hydrochloric Acid+Magnesium Chloride and Water+Hydrochloric Acid+Calcium Chloride Systems at Atmospheric Pressure

Vapor-Liquid Equilibria for Water+Hydrochloric Acid+Magnesium Chloride and Water+Hydrochloric Acid+Calcium Chloride Systems at Atmospheric Pressure Chnese J. Chem. Eng., 4() 76 80 (006) RESEARCH OES Vapor-Lqud Equlbra for Water+Hydrochlorc Acd+Magnesum Chlorde and Water+Hydrochlorc Acd+Calcum Chlorde Systems at Atmospherc Pressure ZHAG Yng( 张颖 ) and

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

Lecture 3: Probability Distributions

Lecture 3: Probability Distributions Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the

More information

UNIFAC. Documentation. DDBSP Dortmund Data Bank Software Package

UNIFAC. Documentation. DDBSP Dortmund Data Bank Software Package UNIFAC Documentaton DDBSP Dortmund Data Ban Software Pacage DDBST Dortmund Data Ban Software & Separaton Technology GmbH Mare-Cure-Straße 10 D-26129 Oldenburg Tel.: +49 441 361819 0 Fax: +49 441 361819

More information

Frequency dependence of the permittivity

Frequency dependence of the permittivity Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but

More information

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850) hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

Assignment 4. Adsorption Isotherms

Assignment 4. Adsorption Isotherms Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,

More information

Chapter 11 Structure of Matter 133 Answers to the Conceptual Questions

Chapter 11 Structure of Matter 133 Answers to the Conceptual Questions hapter 11 Structure of Matter 1 Answers to the onceptual Questons 1. These models gave detaled explanatons for events that had already occurred but lacked any predctve power.. Many examples apply.. Although

More information

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1 Random varables Measure of central tendences and varablty (means and varances) Jont densty functons and ndependence Measures of assocaton (covarance and correlaton) Interestng result Condtonal dstrbutons

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

Chemistry 163B Free Energy and Equilibrium E&R ( ch 6)

Chemistry 163B Free Energy and Equilibrium E&R ( ch 6) Chemstry 163B Free Energy and Equlbrum E&R ( ch 6) 1 ΔG reacton and equlbrum (frst pass) 1. ΔG < spontaneous ( natural, rreversble) ΔG = equlbrum (reversble) ΔG > spontaneous n reverse drecton. ΔG = ΔHΔS

More information

CHEM 112 Exam 3 Practice Test Solutions

CHEM 112 Exam 3 Practice Test Solutions CHEM 11 Exam 3 Practce Test Solutons 1A No matter what temperature the reacton takes place, the product of [OH-] x [H+] wll always equal the value of w. Therefore, f you take the square root of the gven

More information

Mass transfer in multi-component mixtures

Mass transfer in multi-component mixtures Chapters -0 ex. 7, of 5 of boo See also Krshna & Wesselngh Chem. Eng. Sc. 5(6) 997 86-9 Mass transfer n mult-component mxtures Ron Zevenhoven Åbo Aadem Unversty Thermal and Flow Engneerng Laboratory tel.

More information

where the sums are over the partcle labels. In general H = p2 2m + V s(r ) V j = V nt (jr, r j j) (5) where V s s the sngle-partcle potental and V nt

where the sums are over the partcle labels. In general H = p2 2m + V s(r ) V j = V nt (jr, r j j) (5) where V s s the sngle-partcle potental and V nt Physcs 543 Quantum Mechancs II Fall 998 Hartree-Fock and the Self-consstent Feld Varatonal Methods In the dscusson of statonary perturbaton theory, I mentoned brey the dea of varatonal approxmaton schemes.

More information