Cleaner Car Exhausts Using Ion-Exchanged Zeolites: Insights From Atomistic Simulations

Size: px
Start display at page:

Download "Cleaner Car Exhausts Using Ion-Exchanged Zeolites: Insights From Atomistic Simulations"

Transcription

1 CLEERS conference, Ann Arbor, Michigan 20 th September 2018 Cleaner Car Exhausts Using Ion-Exchanged Zeolites: Insights From Atomistic Simulations A Combined Quasi Elastic Neutron Scattering (QENS) and Molecular Dynamics (MD) Study of Diffusion of NH 3 in Zeolites Alex O Malley 1,2,3, Ian Silverwood 4, Iain Hitchcock 5, Jeff Armstrong 4, Misbah Sarwar 5, Sheena Hindocha 5, Andrew York 5, Richard Catlow 1,2,3 Paul Collier 2,5 1. UCL, 2, Catalysis Hub, Harwell, 3, Cardiff University, 4,ISIS facility, Harwell, 5. JM Tech Centre, Sonning

2 Outline Molecular Modelling at Johnson Matthey Diffusion in zeolites NH 3 diffusion in CHA NH 3 diffusion in CHA compared to LEV Summary 2

3 Multiscale Modelling at Johnson Matthey Catalysis is a multi-scale problem years hours minutes Finite Elements Engineering Design Real World s ms ns ps fs Quantum Mechanics Molecular Mechanics Mesoscale Modelling FF-MD Electronic Structure Kinetics and microstructure/ Coarse Graining Å nm µm mm m 3

4 What do JM use Computational Chemistry for? Insight: how do our materials function? Mechanism Effect of reaction environment Effect of reaction conditions? Diffusion Screening: Scan phase space to predict new catalysts/materials fewer experiments/the right experiments Aid Characterisation: SS-NMR IR PDF XRD. 4

5 Ds (m2/s) Diffusion in Zeolites Focus on NH 3 -SCR: 4NO + 4NH 3 + O 2 4N 2 + 6H 2 O in Cu zeolites Empty Pore desorption adsorption Occupied Pore diffusion Catalytic Cycle of Zeolite Catalysis Occupied Active Site Occupied Pore diffusion How can we validate these results? 7E-09 6E-09 5E-09 4E-09 3E-09 2E-09 1E-09 0 A B C D E F G H I J Framework Adapted from Theoretical Heterogeneous Catalysis R.A. van Santen 5

6 Techniques to measure diffusion in zeolites Configurational Diffusion regime in zeolite micropores QENS and PFG-NMR techniques probe same length and time scales as MD simulations Adapted from Douglas M. Ruthven, Martin F.M. Post Introduction to Zeolite Science and Practice

7 S(Q, ω) Arb Units The Quasi Elastic Neutron Scattering (QENS) technique During scattering process neutrons transfer momentum to adsorbed molecules. Elastic scattering (sharp) type of diffusive motion (continuous, jump, rotations) Quasi-elastic scattering (broad): diffusion coefficients Energy Transfer mev Width (broadening) related to diffusion coefficient Can fit to models of diffusion for jump-diffusion e.g. Chudley Elliott 7

8 Case Study 1: Diffusion of NH 3 in CHA Does the presence of a counter-ion affect diffusion of NH 3 in CHA? Compare H-CHA with Cu-CHA Things to consider to make model and experiments comparable: Competitive adsorption/pre-adsorbed water Loading of NH 3 molecules Temperature Ion-location (next slide) H-CHA QENS Experiments Heat sample overnight to remove any pre-adsorbed water Loading =? Assume saturation (cell pressure =800bar) T=273K, 323K, 373K (0, 50, 100 C) Molecular Dynamics Simulations Only single component (NH 3 ) modelled Maximum loading : Monte Carlo simulation (90NH 3, 2x2x2 cell) 200ps equilibration, 1ns production, NVT ensemble, 1fs timestep Forcite, COMPASS forcefield T=273K, 323K, 373K Cu-CHA A.J. O Malley et al. PCCP, 2016, 18,

9 Where is the Cu active site? Jillian Collier, Loredana Mantarosie, Kerry Simmance, Dave Thompsett QM/MM approach Region of interest modelled using QM method (DFT DMol3, PW91, dnp) Rest of lattice modelled using interatomic potentials (Hill-Sauer) I Si O Al Cu IV II Cu-O: 1.95, 2.10, 2.12Å III Cu-O: 1.98, 2.11, 1.97Å Cu locations from literature: Site I = plane of 6R / below D6R Site II = cage below Site I Site III = middle of D6R Site IV = plane of 8R 9

10 IR with NO as a probe molecule Ion pulled out of 6R by interaction with NO : indicates some ion mobility IR shifts for NO in 8R higher than in 6R : can be used to distinguish different sites. Site E ads (kj/mol) CN (bare) CN (NO) IR (cm -1 ) 6R R Experimental IR shifts : cm -1 (1,2) Ion placed in 8R for MD simulations (1)Phys. Chem. Chem. Phys., 2013, 15, 2368 (2)ACS Catal. 2014, 4,

11 QENS results Ammonia seems to behave basically the same in both zeolites! Jump distance of 3 Å, similar residence times at each temperature (16-28 ps) How does NH 3 diffuse? Through 8-ring or 6-ring? Why is the copper ion not changing anything.? 11

12 Ds (m 2 /s) Ds (m 2 /s) Comparisons of D s between MD and QENS H-CHA Cu-CHA 6.00E E E E E E E T (K) QENS_H-CHA MD H-CHA 1.6E E E-09 1E-09 8E-10 6E-10 4E-10 2E T (K) QENS Cu-CHA MD Cu-CHA Good agreement between QENS and MD D s MD faster than QENS ideal crystal used in simulation; presence of defects in sample Values for Cu-CHA very close except at high T 12

13 Comparisons of E act between MD and QENS Calculate activation energy for molecule to jump from site to site from Arrhenius plot E act 3.5kJ/mol E act for H-CHA agrees well between methods E act 3.7 kj/mol E act 4.4 kj/mol MD activation energy for Cu-CHA significantly higher Why? E act 10.8kJ/mol 13

14 Comparison of D s from QENS and MD: H-CHA vs Cu-CHA MD QENS MD simulations predict that diffusion should be faster in H-CHA compared to Cu-CHA QENS experiment sees no difference! Why? 14

15 Insights from Molecular Dynamics Simulations How are the molecules diffusing? Diffusion exclusively via the 8R window. NH 3 : 2.6Å 6R: Å 8R: 3.8Å Pathway of NH 3 molecule NH 3 molecule is too big to fit through the 6R but can pass through the 8R s easily 15

16 g(r) Insights from Molecular Dynamics Simulations Clusters of NH 3 coordinated to the Cu 2+. Form a Shell which shields remaining NH 3 from the Cu 2+. Clusters are immobile during the course of the simulation Cu2+-N Al-Cu2+ The coordinated NH 3 move too slowly to be detected by the OSIRIS instrument (movements t> 200ps not detected) Only uncoordinated NH 3 s detected by QENS r (Ȧ) What if we ignore clusters and calculate D s for only the NH 3 s that move? D s Cu-CHA (m 2 /s) 3.69 x10-10 D s Cu-CHA (uncoord) (m 2 /s) 5.76x10-9 D s H-CHA (m 2 /s) 3.23x10-9 Ds Cu-CHA (uncoord)~ds H-CHA : better agreement with QENS E act (uncoord) = 10.1 kj/mol (lowered from 10.7 kj/mol) 16

17 Summary QENS experiments and MD simulations have been used to investigate diffusion of NH 3 in CHA Good agreement between diffusion coefficients between techniques Good agreement in E act for H-CHA Discrepancy in E act in Cu-CHA by QENS and MD due to presence of Cu-NH 3 clusters not detected by QENS 17

18 Case Study 2: Diffusion of NH 3 in LEV and comparisons with CHA Small pore zeolites have been shown to be beneficial for NH 3 -SCR Compare to another zeolite in the ABC-6 family CHA (3D) LEV(2D) Does dimensionality of the zeolite affect diffusion of NH 3? Compare diffusion of H-CHA with H-LEV by QENS and MD A.J. O Malley et al PCCP, 2018, 20,

19 Comparisons of D s between MD and QENS Loading = 90NH 3 for CHA and LEV Simulations extended to 5ns for both MD predicts that diffusion should be faster in CHA compared to LEV QENS sees no difference (within error) 19

20 QENS Spectra There is a significant elastic component at all temperatures Is this due to: Localised motion such as rotation? Or Translational diffusion with a component of NH 3 that is static? Or..a combination of both? Can characterise by computing the Elastic Incoherent Structure Factor (EISF) 20

21 Elastic Incoherent Structure Factor (EISF) Tried to fit to 3 rotational models All poor fit to EISF Best matching shape is model for diffusion confined to a sphere of r=3.5å Rotation combined with translation Shape of experimental EISF not replicated at 273K and 323K but is close at 373K Can discount significant contribution from rotational motion at lower T s but not at 373K 21

22 Dipole Autocorrelation Function from MD What kind of motion do we have in the simulation? Fast decay especially at 373K Suggests that the rotational relaxation is too fast to make a significant contribution to the spectra Elastic contribution caused by molecules that are static on the timescale probed by instrument Observing translational motion with an immobile fraction rather than NH 3 rotation 22

23 MSD (Ȧ 2 ) MSD (Å 2 ) Differences in D s : Mean Squared Displacement 4000 CHA LEV Time (ps) Time (ps) CHA: Diffusion in 3 directions LEV: Diffusion only in 2 directions. No diffusion in {001} (z). However even in {100} and {010} directions diffusion in LEV is slower than in CHA Why? 23

24 Comparisons of CHA and LEV cages CHA structure : 108 atoms : 80% 8R s LEV structure : 92 atoms : <50% 8R s R s which NH 3 can diffuse through 3 8R s which NH 3 can diffuse through For a small increase in size from CHA to LEV (108 vs 92) there is double the opportunity for NH 3 to leave the cage. 24

25 Diffusion pathway -trajectory plots Side Top Side Top CHA 6 pathways LEV 3 pathways Slower diffusion in {100} and {010} directions in LEV may be related to fewer pathways 25

26 Differences between QENS and MD techniques MD: Diffusion in CHA faster than LEV QENS: Diffusion ~ same QENS is probing localised motion at the picoscale MD simulations probe both the pico and nanoscale At the picoscale the diffusion of NH 3 in CHA and LEV are very similar. However at the nanoscale the differences become more marked. 26

27 Summary A comparison of D s in CHA and LEV was made by QENS and MD simulations MD simulations suggest that diffusion of NH 3 in CHA should be faster than in LEV but QENS results suggest diffusion is essentially the same. QENS experiments and MD simulations observe translational diffusion of NH 3. Contribution from rotational motion discounted. Differences in D s between techniques can be attributed to time-scale being probed. At the picoscale the diffusion between frameworks is similar At the nanoscale (MD) the diffusion is markedly different Differences in diffusion coefficients at the nanoscale can be related to number of 8R s in both structures Techniques are complimentary Future Work: effect of NH 3 loading implication of NH 3 clustering effect of hydrocarbon on NH 3 diffusion effect of other NH 3 -SCR species? NO, NO 2, H 2 O 27

Diffusion of propylene adsorbed in Na-Y and Na-ZSM5 zeolites: Neutron scattering and FTIR studies

Diffusion of propylene adsorbed in Na-Y and Na-ZSM5 zeolites: Neutron scattering and FTIR studies PRAMANA c Indian Academy of Sciences Vol. 71, No. 5 journal of November 2008 physics pp. 1153 1157 Diffusion of propylene adsorbed in Na-Y and Na-ZSM5 zeolites: Neutron scattering and FTIR studies S GAUTAM

More information

Hydrogen diffusion in potassium intercalated graphite studied by quasielastic neutron scattering

Hydrogen diffusion in potassium intercalated graphite studied by quasielastic neutron scattering Supporting Information for Hydrogen diffusion in potassium intercalated graphite studied by quasielastic neutron scattering Justin Purewal *, J. Brandon Keith, Channing C. Ahn and Brent Fultz California

More information

Application Challenges for Nanostructured Porous Materials

Application Challenges for Nanostructured Porous Materials Application Challenges for Nanostructured Porous Materials Dr Liz Rowsell Director, Johnson Matthey Technology Centre 1 Paradigm Shift in Automotive NOx Control Catalysts A paradigm shift describes a fundamental

More information

QENS in the Energy Domain: Backscattering and Time-of

QENS in the Energy Domain: Backscattering and Time-of QENS in the Energy Domain: Backscattering and Time-of of-flight Alexei Sokolov Department of Polymer Science, The University of Akron Outline Soft Matter and Neutron Spectroscopy Using elastic scattering

More information

Modelling the PDF of Crystalline Materials with RMCProfile

Modelling the PDF of Crystalline Materials with RMCProfile Modelling the PDF of Crystalline Materials with RMCProfile Dr Helen Yvonne Playford STFC ISIS Facility, Rutherford Appleton Laboratory, Didcot, UK China Spallation Neutron Source Institute of High Energy

More information

Supporting Information. Even Hard Sphere Colloidal Suspensions Display. Fickian yet Non-Gaussian Diffusion

Supporting Information. Even Hard Sphere Colloidal Suspensions Display. Fickian yet Non-Gaussian Diffusion Supporting Information Even Hard Sphere Colloidal Suspensions Display Fickian yet Non-Gaussian Diffusion Juan Guan, a Bo Wang, a and Steve Granick a,b,c,* Departments of Materials Science, a Chemistry,

More information

Microporous Carbon adsorbents with high CO 2 capacities for industrial applications

Microporous Carbon adsorbents with high CO 2 capacities for industrial applications Microporous Carbon adsorbents with high CO 2 capacities for industrial applications Santiago Builes, a,b Thomas Roussel,* b Camelia Matei Ghimbeu, c Julien Parmentier, c Roger Gadiou, c Cathie Vix-Guterl

More information

Monte Carlo Simulation of Long-Range Self-Diffusion in Model Porous Membranes and Catalysts

Monte Carlo Simulation of Long-Range Self-Diffusion in Model Porous Membranes and Catalysts Monte Carlo Simulation of Long-Range Self-Diffusion in Model Porous Membranes and Catalysts Brian DeCost and Dr. Sergey Vasenkov College of Engineering, University of Florida Industrial processes involving

More information

Hydrogen diffusion in potassium-intercalated graphite

Hydrogen diffusion in potassium-intercalated graphite 73 Chapter 5 Hydrogen diffusion in potassium-intercalated graphite 5. Introduction Hydrogen is adsorbed in large amounts by KC 4 at low temperatures. The potassiums, hydrogens and vacancies essentially

More information

3.320 Lecture 23 (5/3/05)

3.320 Lecture 23 (5/3/05) 3.320 Lecture 23 (5/3/05) Faster, faster,faster Bigger, Bigger, Bigger Accelerated Molecular Dynamics Kinetic Monte Carlo Inhomogeneous Spatial Coarse Graining 5/3/05 3.320 Atomistic Modeling of Materials

More information

Au-C Au-Au. g(r) r/a. Supplementary Figures

Au-C Au-Au. g(r) r/a. Supplementary Figures g(r) Supplementary Figures 60 50 40 30 20 10 0 Au-C Au-Au 2 4 r/a 6 8 Supplementary Figure 1 Radial bond distributions for Au-C and Au-Au bond. The zero density regime between the first two peaks in g

More information

DFT modeling of novel materials for hydrogen storage

DFT modeling of novel materials for hydrogen storage DFT modeling of novel materials for hydrogen storage Tejs Vegge 1, J Voss 1,2, Q Shi 1, HS Jacobsen 1, JS Hummelshøj 1,2, AS Pedersen 1, JK Nørskov 2 1 Materials Research Department, Risø National Laboratory,

More information

Cation Redistribution Upon Water Adsorption in Titanosilicate ETS-10

Cation Redistribution Upon Water Adsorption in Titanosilicate ETS-10 Cation Redistribution Upon Water Adsorption in Titanosilicate ETS-10 Anjaiah Nalaparaju, George X. S. Zhao and Jianwen Jiang* Department of Chemical and Bimolecular Engineering National University of Singapore,

More information

Coarse-grained Models for Oligomer-grafted Silica Nanoparticles

Coarse-grained Models for Oligomer-grafted Silica Nanoparticles Modeling So+ Ma-er: Linking Mul3ple Length and Time Scales KITP Conference, Santa Barbara, June 4-8, 2012 Coarse-grained Models for Oligomer-grafted Silica Nanoparticles Bingbing Hong Alexandros Chremos

More information

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary Outline Introduction: graphene Adsorption on graphene: - Chemisorption - Physisorption Summary 1 Electronic band structure: Electronic properties K Γ M v F = 10 6 ms -1 = c/300 massless Dirac particles!

More information

Analysis of the simulation

Analysis of the simulation Analysis of the simulation Marcus Elstner and Tomáš Kubař January 7, 2014 Thermodynamic properties time averages of thermodynamic quantites correspond to ensemble averages (ergodic theorem) some quantities

More information

for investigating Lars Heinke Fritz-Haber-Institute of the Max-Planck-Society, Berlin Jörg Kärger University Leipzig

for investigating Lars Heinke Fritz-Haber-Institute of the Max-Planck-Society, Berlin Jörg Kärger University Leipzig Using kinetic Monte Carlo simulations for investigating surface barriers in nanoporous materials Lars Heinke Fritz-Haber-Institute of the Max-Planck-Society, Berlin Jörg Kärger University Leipzig Com-Phys-09

More information

Introduction. Monday, January 6, 14

Introduction. Monday, January 6, 14 Introduction 1 Introduction Why to use a simulation Some examples of questions we can address 2 Molecular Simulations Molecular dynamics: solve equations of motion Monte Carlo: importance sampling Calculate

More information

Structure/Activity Relationships in Cu/CHA-Based NH 3 SCR Catalysts

Structure/Activity Relationships in Cu/CHA-Based NH 3 SCR Catalysts Structure/Activity Relationships in Cu/CHA-Based NH 3 SCR Catalysts Feng Gao, Yilin Wang, Márton Kollár, Eric Walter, János Szanyi, Chuck Peden Institute for Integrated Catalysis Pacific Northwest National

More information

Assembly of Xe atoms in a A Monte Carlo simulation. NaA alpha cage:

Assembly of Xe atoms in a A Monte Carlo simulation. NaA alpha cage: Pure&App/. Chem., Vol. 64, No. 11, pp. 1629-1634,1992. Printed in Great Britain. @ 1992 IUPAC Assembly of Xe atoms in a A Monte Carlo simulation NaA alpha cage: Paul R. Van Tassel, Claude Hall, H. Ted

More information

Using Molecular Dynamics to Compute Properties CHEM 430

Using Molecular Dynamics to Compute Properties CHEM 430 Using Molecular Dynamics to Compute Properties CHEM 43 Heat Capacity and Energy Fluctuations Running an MD Simulation Equilibration Phase Before data-collection and results can be analyzed the system

More information

Surface Physics Surface Diffusion. Assistant: Dr. Enrico Gnecco NCCR Nanoscale Science

Surface Physics Surface Diffusion. Assistant: Dr. Enrico Gnecco NCCR Nanoscale Science Surface Physics 008 8. Surface Diffusion Assistant: Dr. Enrico Gnecco NCCR Nanoscale Science Random-Walk Motion Thermal motion of an adatom on an ideal crystal surface: - Thermal excitation the adatom

More information

A MOLECULAR DYNAMICS STUDY OF POLYMER/GRAPHENE NANOCOMPOSITES

A MOLECULAR DYNAMICS STUDY OF POLYMER/GRAPHENE NANOCOMPOSITES A MOLECULAR DYNAMICS STUDY OF POLYMER/GRAPHENE NANOCOMPOSITES Anastassia N. Rissanou b,c*, Vagelis Harmandaris a,b,c* a Department of Applied Mathematics, University of Crete, GR-79, Heraklion, Crete,

More information

Formation of water at a Pt(111) surface: A study using reactive force fields (ReaxFF)

Formation of water at a Pt(111) surface: A study using reactive force fields (ReaxFF) Formation of water at a Pt(111) surface: A study using reactive force fields (ReaxFF) Markus J. Buehler 1, Adri C.T. van Duin 2, Timo Jacob 3, Yunhee Jang 2, Boris Berinov 2, William A. Goddard III 2 1

More information

SUPPLEMENTARY NOTE 1: ADDITIONAL CHARACTERIZATION OF NANODIAMOND SOLUTIONS AND THE OVERHAUSER EFFECT

SUPPLEMENTARY NOTE 1: ADDITIONAL CHARACTERIZATION OF NANODIAMOND SOLUTIONS AND THE OVERHAUSER EFFECT 1 SUPPLEMENTARY NOTE 1: ADDITIONAL CHARACTERIZATION OF NANODIAMOND SOLUTIONS AND THE OVERHAUSER EFFECT Nanodiamond (ND) solutions were prepared using high power probe sonication and analyzed by dynamic

More information

Institute for Functional Imaging of Materials (IFIM)

Institute for Functional Imaging of Materials (IFIM) Institute for Functional Imaging of Materials (IFIM) Sergei V. Kalinin Guiding the design of materials tailored for functionality Dynamic matter: information dimension Static matter Functional matter Imaging

More information

Self-diffusion in single-file zeolite membranes is Fickian at long times

Self-diffusion in single-file zeolite membranes is Fickian at long times JOURNAL OF CHEMICAL PHYSICS VOLUME 110, NUMBER 18 8 MAY 1999 Self-diffusion in single-file zeolite membranes is Fickian at long times Peter H. Nelson Department of Chemistry, University of Massachusetts,

More information

Molecular Dynamics Investigation of Triethylene Glycol in Hydrated LTA Zeolite

Molecular Dynamics Investigation of Triethylene Glycol in Hydrated LTA Zeolite U N I V E R S I T E T E T I B E R G E N Institute of Physics and Technology Molecular Dynamics Investigation of Triethylene Glycol in Hydrated LTA Zeolite Emphasis on Evaluation of Potential Models Bjørnar

More information

Spatially heterogeneous dynamics in supercooled organic liquids

Spatially heterogeneous dynamics in supercooled organic liquids Spatially heterogeneous dynamics in supercooled organic liquids Stephen Swallen, Marcus Cicerone, Marie Mapes, Mark Ediger, Robert McMahon, Lian Yu UW-Madison NSF Chemistry 1 Image from Weeks and Weitz,

More information

Molecular Dynamics Simulations of Fusion Materials: Challenges and Opportunities (Recent Developments)

Molecular Dynamics Simulations of Fusion Materials: Challenges and Opportunities (Recent Developments) Molecular Dynamics Simulations of Fusion Materials: Challenges and Opportunities (Recent Developments) Fei Gao gaofeium@umich.edu Limitations of MD Time scales Length scales (PBC help a lot) Accuracy of

More information

Part A: Operando FT-IR Studies of heterogeneous catalytic reactions: pitfalls and benefits.

Part A: Operando FT-IR Studies of heterogeneous catalytic reactions: pitfalls and benefits. Part A: Operando FT-IR Studies of heterogeneous catalytic reactions: pitfalls and benefits. Fred Meunier fcm@ircelyon.univ-lyon1.fr Institut de Recherche sur la Catalyse et l Environnement de Lyon Villeurbanne,

More information

Chapter 5 Methods for studying diffusion in Polymers:

Chapter 5 Methods for studying diffusion in Polymers: V -1 Chapter 5 Methods for studying diffusion in Polymers: Greenfield and Theodorou i give a review of the methods for prediction of the diffusivity of penetrants in various polymers. Another review is

More information

FROZEN ELECTRODES. J.B. Merriam. University of Saskatchewan Department of Geological Sciences. Abstract

FROZEN ELECTRODES. J.B. Merriam. University of Saskatchewan Department of Geological Sciences. Abstract FROZEN ELECTRODES J.B. Merriam University of Saskatchewan Department of Geological Sciences Abstract Resistivity and induced polarization surveys are a challenge in cold environments because of very high

More information

Mechanisms of Nonexponential Relaxation in Supercooled Glucose Solutions: the Role of Water Facilitation

Mechanisms of Nonexponential Relaxation in Supercooled Glucose Solutions: the Role of Water Facilitation J. Phys. Chem. A 2004, 108, 3699-3712 3699 ARTICLES Mechanisms of Nonexponential Relaxation in Supercooled Glucose Solutions: the Role of Water Facilitation Valeria Molinero, Tahir Çaǧın, and William A.

More information

Special Properties of Au Nanoparticles

Special Properties of Au Nanoparticles Special Properties of Au Nanoparticles Maryam Ebrahimi Chem 7500/750 March 28 th, 2007 1 Outline Introduction The importance of unexpected electronic, geometric, and chemical properties of nanoparticles

More information

Diffusion and vibrational relaxation of a diatomic molecule in the pore network of a pure silica zeolite: A molecular dynamics study

Diffusion and vibrational relaxation of a diatomic molecule in the pore network of a pure silica zeolite: A molecular dynamics study Diffusion and vibrational relaxation of a diatomic molecule in the pore network of a pure silica zeolite: A molecular dynamics study Pierfranco Demontis, Giuseppe B. Suffritti, and Antonio Tilocca Dipartimento

More information

Glass-Transition and Side-Chain Dynamics in Thin Films: Explaining. Dissimilar Free Surface Effects for Polystyrene and Poly(methyl methacrylate)

Glass-Transition and Side-Chain Dynamics in Thin Films: Explaining. Dissimilar Free Surface Effects for Polystyrene and Poly(methyl methacrylate) Supporting Information for Glass-Transition and Side-Chain Dynamics in Thin Films: Explaining Dissimilar Free Surface Effects for Polystyrene and Poly(methyl methacrylate) David D. Hsu, Wenjie Xia, Jake

More information

Development and Validation of a multi-site kinetic model for NH 3 -SCR over Cu-SSZ-13. Rohil Daya Isuzu Technical Center of America

Development and Validation of a multi-site kinetic model for NH 3 -SCR over Cu-SSZ-13. Rohil Daya Isuzu Technical Center of America Development and Validation of a multi-site kinetic model for NH 3 -SCR over Cu-SSZ-13 Rohil Daya Isuzu Technical Center of America Introduction, Objective and Purpose Cu-CHA small pore SCR catalysts utilized

More information

Case study: molecular dynamics of solvent diffusion in polymers

Case study: molecular dynamics of solvent diffusion in polymers Course MP3 Lecture 11 29/11/2006 Case study: molecular dynamics of solvent diffusion in polymers A real-life research example to illustrate the use of molecular dynamics Dr James Elliott 11.1 Research

More information

Intracrystalline Diffusion in Zeolites Studied by Neutron Scattering Techniques

Intracrystalline Diffusion in Zeolites Studied by Neutron Scattering Techniques Oil & Gas Science and Technology Rev. IFP, Vol. 6 (25), No. 5, pp. 85-83 Copyright 25, Institut français du pétrole Dossier Synchrotron and Neutron Solutions to Oil Industry Problems Utilisation des grands

More information

Protein Dynamics, Allostery and Function

Protein Dynamics, Allostery and Function Protein Dynamics, Allostery and Function Lecture 3. Protein Dynamics Xiaolin Cheng UT/ORNL Center for Molecular Biophysics SJTU Summer School 2017 1 Obtaining Dynamic Information Experimental Approaches

More information

MatSci 331 Homework 4 Molecular Dynamics and Monte Carlo: Stress, heat capacity, quantum nuclear effects, and simulated annealing

MatSci 331 Homework 4 Molecular Dynamics and Monte Carlo: Stress, heat capacity, quantum nuclear effects, and simulated annealing MatSci 331 Homework 4 Molecular Dynamics and Monte Carlo: Stress, heat capacity, quantum nuclear effects, and simulated annealing Due Thursday Feb. 21 at 5pm in Durand 110. Evan Reed In this homework,

More information

Exploring the anomalous behavior of metal nanocatalysts with finite temperature AIMD and x-ray spectra

Exploring the anomalous behavior of metal nanocatalysts with finite temperature AIMD and x-ray spectra Exploring the anomalous behavior of metal nanocatalysts with finite temperature AIMD and x-ray spectra F.D. Vila DOE grant DE-FG02-03ER15476 With computer support from DOE - NERSC. Importance of Theoretical

More information

Competitive I 2 Sorption by Cu-BTC from Humid Gas Streams

Competitive I 2 Sorption by Cu-BTC from Humid Gas Streams Supporting Information for: Competitive I 2 Sorption by Cu-BTC from Humid Gas Streams Dorina F. Sava, Karena W. Chapman, Mark A. Rodriguez, Jeffery A. Greathouse, # Paul S. Crozier,^ Haiyan Zhao, Peter

More information

Density Functional Modeling of Nanocrystalline Materials

Density Functional Modeling of Nanocrystalline Materials Density Functional Modeling of Nanocrystalline Materials A new approach for modeling atomic scale properties in materials Peter Stefanovic Supervisor: Nikolas Provatas 70 / Part 1-7 February 007 Density

More information

Supplementary material for Universal stretched exponential relaxation in nanoconfined water

Supplementary material for Universal stretched exponential relaxation in nanoconfined water Supplementary material for Universal stretched exponential relaxation in nanoconfined water Adarsh Shekhar, 1 Rajiv K. Kalia, 1 Aiichiro Nakano, 1 Priya Vashishta, 1 Camilla K. Alm, 2 and Anders Malthe-Sørenssen

More information

Muons in Chemistry Training School Dr N J Clayden School of Chemistry University of East Anglia Norwich

Muons in Chemistry Training School Dr N J Clayden School of Chemistry University of East Anglia Norwich Muons in Chemistry Training School 2014 Dr N J Clayden School of Chemistry University of East Anglia Norwich Why use muons? Extrinsic probe (Mu +, Mu, muoniated radical) Intrinsic interest Framing of the

More information

Atomistic Simulation of Nuclear Materials

Atomistic Simulation of Nuclear Materials BEAR Launch 2013 24 th June 2013 Atomistic Simulation of Nuclear Materials Dr Mark S D Read School of Chemistry Nuclear Education and Research Centre www.chem.bham.ac.uk Birmingham Centre for Nuclear Education

More information

Charge equilibration

Charge equilibration Charge equilibration Taylor expansion of energy of atom A @E E A (Q) =E A0 + Q A + 1 @Q A 0 2 Q2 A @ 2 E @Q 2 A 0 +... The corresponding energy of cation/anion and neutral atom E A (+1) = E A0 + @E @Q

More information

AUTOMOTIVE EXHAUST AFTERTREATMENT

AUTOMOTIVE EXHAUST AFTERTREATMENT AUTOMOTIVE EXHAUST AFTERTREATMENT CATALYST FUNDAMENTLS Catalyst in its simplest term is a material that increase the rate (molecules converted by unit time) of a chemical reaction while itself not undergoing

More information

Summary of the new Modelling Vocabulary

Summary of the new Modelling Vocabulary Summary of the new Modelling Vocabulary These two pages attempts to summarise in a concise manner the Modelling Vocabulary. What are Models? What are Simulations? Materials Models consist of Physics or

More information

Supplementary Information for Observation of dynamic atom-atom correlation in liquid helium in real space

Supplementary Information for Observation of dynamic atom-atom correlation in liquid helium in real space 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 Supplementary Information for Observation of dynamic atom-atom correlation in liquid helium in real space Supplementary Note : Total PDF The total (snap-shot) PDF is obtained

More information

Chain Length Effects of Linear Alkanes in Zeolite Ferrierite. 2. Molecular Simulations 1

Chain Length Effects of Linear Alkanes in Zeolite Ferrierite. 2. Molecular Simulations 1 3952 J. Phys. Chem. B 1998, 102, 3952-3958 Chain Length Effects of Linear Alkanes in Zeolite Ferrierite. 2. Molecular Simulations 1 Willy J. M. van Well, Xavier Cottin, Berend Smit, Jan H. C. van Hooff,

More information

Conduction Modeling in Mixed Alkali Borate Glasses

Conduction Modeling in Mixed Alkali Borate Glasses International Journal of Pure & Applied Physics ISSN 0973-1776 Vol.1 No.2 (2005), pp. 191-197 Research India Publications http://www.ripub lication.com/ijpap.htm Conduction Modeling in Mixed Alkali Borate

More information

Lecture 10 Thin Film Growth

Lecture 10 Thin Film Growth Lecture 10 Thin Film Growth 1/76 Announcements Homework: Homework Number 2 is returned today, please pick it up from me at the end of the class. Solutions are online. Homework 3 will be set Thursday (2

More information

Permeation of Hexane Isomers across ZSM-5 Zeolite Membranes

Permeation of Hexane Isomers across ZSM-5 Zeolite Membranes 2618 Ind. Eng. Chem. Res. 2000, 39, 2618-2622 Permeation of Hexane Isomers across ZSM-5 Zeolite Membranes Rajamani Krishna* and Dietmar Paschek Department of Chemical Engineering, University of Amsterdam,

More information

Catalysis Science & Technology

Catalysis Science & Technology Catalysis Science & Technology Volume 6 Number 15 7 August 2016 Pages 5759 6160 www.rsc.org/catalysis ISSN 2044-4753 PAPER Jean-Sabin McEwen et al. The interaction of reactants, intermediates and products

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

Simulation of the NMR Second Moment as a Function of Temperature in the Presence of Molecular Motion. Application to (CH 3

Simulation of the NMR Second Moment as a Function of Temperature in the Presence of Molecular Motion. Application to (CH 3 Simulation of the NMR Second Moment as a Function of Temperature in the Presence of Molecular Motion. Application to (CH 3 ) 3 NBH 3 Roman Goc Institute of Physics, A. Mickiewicz University, Umultowska

More information

Hydrogen Adsorption by Alkali Metal Graphite Intercalation Compounds

Hydrogen Adsorption by Alkali Metal Graphite Intercalation Compounds Hydrogen Adsorption by Alkali Metal Graphite Intercalation Compounds Thesis by Justin Purewal In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy California Institute of Technology

More information

Vibrational Spectroscopy of Molecules on Surfaces

Vibrational Spectroscopy of Molecules on Surfaces Vibrational Spectroscopy of Molecules on Surfaces Edited by John T. Yates, Jr. University of Pittsburgh Pittsburgh, Pennsylvania and Theodore E. Madey National Bureau of Standards Gaithersburg, Maryland

More information

STRUCTURAL AND MECHANICAL PROPERTIES OF AMORPHOUS SILICON: AB-INITIO AND CLASSICAL MOLECULAR DYNAMICS STUDY

STRUCTURAL AND MECHANICAL PROPERTIES OF AMORPHOUS SILICON: AB-INITIO AND CLASSICAL MOLECULAR DYNAMICS STUDY STRUCTURAL AND MECHANICAL PROPERTIES OF AMORPHOUS SILICON: AB-INITIO AND CLASSICAL MOLECULAR DYNAMICS STUDY S. Hara, T. Kumagai, S. Izumi and S. Sakai Department of mechanical engineering, University of

More information

First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation

First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation 1 1 First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation Maarten K. Sabbe, Gonzalo Canduela, Marie- Françoise Reyniers, Guy B. Marin Introduction: benzene hydrogenation

More information

Theodore E. Madey. Department of Physics and Astronomy, and Laboratory for Surface Modification

Theodore E. Madey. Department of Physics and Astronomy, and Laboratory for Surface Modification The Science of Catalysis at the Nanometer Scale Theodore E. Madey Department of Physics and Astronomy, and Laboratory for Surface Modification http://www.physics.rutgers.edu/lsm/ Rutgers, The State University

More information

Dynamical behavior of one-dimensional water molecule chains in zeolites: Nanosecond time-scale molecular dynamics simulations of bikitaite

Dynamical behavior of one-dimensional water molecule chains in zeolites: Nanosecond time-scale molecular dynamics simulations of bikitaite JOURNAL OF CHEMICAL PHYSICS VOLUME 120, NUMBER 19 15 MAY 2004 Dynamical behavior of one-dimensional water molecule chains in zeolites: Nanosecond time-scale molecular dynamics simulations of bikitaite

More information

Potentials, periodicity

Potentials, periodicity Potentials, periodicity Lecture 2 1/23/18 1 Survey responses 2 Topic requests DFT (10), Molecular dynamics (7), Monte Carlo (5) Machine Learning (4), High-throughput, Databases (4) NEB, phonons, Non-equilibrium

More information

Modeling Biomolecular Systems II. BME 540 David Sept

Modeling Biomolecular Systems II. BME 540 David Sept Modeling Biomolecular Systems II BME 540 David Sept Introduction Why do we perform simulations? What makes simulations possible? How do we perform simulations? What types of things/systems do we simulate?

More information

Thomas Roussel, Roland J.-M. Pellenq, Christophe Bichara. CRMC-N CNRS, Campus de Luminy, Marseille, cedex 09, France. Abstract.

Thomas Roussel, Roland J.-M. Pellenq, Christophe Bichara. CRMC-N CNRS, Campus de Luminy, Marseille, cedex 09, France. Abstract. A GRAND CANONICAL MONTE-CARLO STUDY OF H ADSORPTION IN PRISTINE AND Li-DOPED CARBON REPLICAS OF FAUJASITE ZEOLITE Thomas Roussel, Roland J.-M. Pellenq, Christophe Bichara CRMC-N CNRS, Campus de Luminy,

More information

Simulation of Selective Catalytic Reduction using DARS 1D Tool

Simulation of Selective Catalytic Reduction using DARS 1D Tool Simulation of Selective Catalytic Reduction using DARS 1D Tool Best Practice Training: Combustion & Chemical Reaction Modeling STAR Global Conference 2013 Karin Fröjd & Adina Tunér LOGE AB Outline Introduction

More information

Molecular Dynamics & Adaptive Kinetic Monte Carlo Growth Study of Hydrocarbon Flakes

Molecular Dynamics & Adaptive Kinetic Monte Carlo Growth Study of Hydrocarbon Flakes Molecular Dynamics & Adaptive Kinetic Monte Carlo Growth Study of Hydrocarbon Flakes Amit R. Sharma Department of Physics Wright State University Dayton, Ohio, USA amit.sharma@wright.edu Hydrocarbon co-deposits

More information

Binding energy of 2D materials using Quantum Monte Carlo

Binding energy of 2D materials using Quantum Monte Carlo Quantum Monte Carlo in the Apuan Alps IX International Workshop, 26th July to 2nd August 2014 The Apuan Alps Centre for Physics @ TTI, Vallico Sotto, Tuscany, Italy Binding energy of 2D materials using

More information

Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au Atoms

Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au Atoms Electronic Supplementary Material (ESI) for Catalysis Science & Technology. This journal is The Royal Society of Chemistry 214 Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au

More information

The Cubic Perovskite Structure of Black. Formamidinium Lead Iodide, α-[hc(nh 2 ) 2 ]PbI 3,

The Cubic Perovskite Structure of Black. Formamidinium Lead Iodide, α-[hc(nh 2 ) 2 ]PbI 3, Supporting Information The Cubic Perovskite Structure of Black Formamidinium Lead Iodide, α-[hc(nh 2 ) 2 ]PbI 3, at 298 K Mark T. Weller, Oliver J Weber, Jarvist M. Frost, Aron Walsh Centre for Sustainable

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

CHAPTER 7. for two different Diels-Alder-dehydration reactions catalyzed by the Lewis acid

CHAPTER 7. for two different Diels-Alder-dehydration reactions catalyzed by the Lewis acid 131 CHAPTER 7 MEASUREMENT OF ACTIVATION ENERGIES FOR ETHYLENE DIELS-ALDER-DEHYDRATION REACTIONS This chapter provides a summary and discussion of kinetic data obtained for two different Diels-Alder-dehydration

More information

Cover Page. The handle holds various files of this Leiden University dissertation

Cover Page. The handle  holds various files of this Leiden University dissertation Cover Page The handle http://hdl.handle.net/1887/29891 holds various files of this Leiden University dissertation Author: Roobol, Sander Bas Title: The structure of a working catalyst : from flat surfaces

More information

Tools for QM studies of large systems

Tools for QM studies of large systems Tools for QM studies of large systems Automated, hessian-free saddle point search & characterization QM/MM implementation for zeolites Shaama Mallikarjun Sharada Advisors: Prof. Alexis T Bell, Prof. Martin

More information

Acidic Water Monolayer on Ruthenium(0001)

Acidic Water Monolayer on Ruthenium(0001) Acidic Water Monolayer on Ruthenium(0001) Youngsoon Kim, Eui-seong Moon, Sunghwan Shin, and Heon Kang Department of Chemistry, Seoul National University, 1 Gwanak-ro, Seoul 151-747, Republic of Korea.

More information

SUPPLEMENTARY INFORMATION An Empirical IR Frequency Map for Ester C=O Stretching Vibrations

SUPPLEMENTARY INFORMATION An Empirical IR Frequency Map for Ester C=O Stretching Vibrations SUPPLEMENTARY INFORMATION An Empirical IR Frequency Map for Ester C=O Stretching Vibrations Sean C. Edington, Jennifer C. Flanagan, Carlos R. Baiz* Department of Chemistry, University of Texas at Austin

More information

Neutron and X-ray Scattering Studies

Neutron and X-ray Scattering Studies Neutron and X-ray Scattering Studies Alexis G. Clare NYSCC Alfred NY Clare@alfred.edu clare@alfred.edu Scattering Studies4 1 Outline Review interpreting correlation functions Some more examples Inelastic

More information

Supplementary Figures

Supplementary Figures Supplementary Figures iso ( =2900 cm -1 ) 1.0 0.8 0.6 0.4 0.2 0.0-0.2-0.4 pump cm -1 3450 cm -1 cm -1 cm -1-0.5 0.0 0.5 1.0 1.5 2.0 2.5 delay [ps] Supplementary Figure 1: Raw infrared pump-probe traces.

More information

Quantification of Dynamics in the Solid-State

Quantification of Dynamics in the Solid-State Bernd Reif Quantification of Dynamics in the Solid-State Technische Universität München Helmholtz-Zentrum München Biomolecular Solid-State NMR Winter School Stowe, VT January 0-5, 206 Motivation. Solid

More information

Proton Dynamics in Lithium-Ammonia Solutions and Expanded Metals

Proton Dynamics in Lithium-Ammonia Solutions and Expanded Metals Proton Dynamics in Lithium-Ammonia Solutions and Expanded Metals Helen Thompson*, Neal T. Skipper and Jonathan C. Wasse, Department of Physics and Astronomy, University College London, Gower Street, London

More information

in an essence and a European context Kersti Hermansson, Department of Chemistry-Ångström, UU

in an essence and a European context Kersti Hermansson, Department of Chemistry-Ångström, UU Modelling materials and chemistry in an essence and a European context Kersti Hermansson, Department of Chemistry-Ångström, UU kersti@kemi.uu.se Swedish e-science Academy 2015, 14-15 15 October 2015 "Chemistry

More information

Catalytic Activity of IrO 2 (110) Surface: A DFT study

Catalytic Activity of IrO 2 (110) Surface: A DFT study Catalytic Activity of IrO 2 (110) Surface: A DFT study Jyh-Chiang Jiang Department of Chemical Engineering, National Taiwan University of Science and Technology (NTUST) NCTS-NCKU 9/7, 2010 Computational

More information

Overview. kmcand DFT. An example to start with. An example to start with 03/09/2014

Overview. kmcand DFT. An example to start with. An example to start with 03/09/2014 An Introduction of the Use of Monte Carlo Simulations in Catalysis. Tonek Jansen verview Kinetics and kinetic Monte Carlo The Master Equation Getting the Rate Constants Algorithms Examples Bangalore, 5

More information

6.5 mm. ε = 1%, r = 9.4 mm. ε = 3%, r = 3.1 mm

6.5 mm. ε = 1%, r = 9.4 mm. ε = 3%, r = 3.1 mm Supplementary Information Supplementary Figures Gold wires Substrate Compression holder 6.5 mm Supplementary Figure 1 Picture of the compression holder. 6.5 mm ε = 0% ε = 1%, r = 9.4 mm ε = 2%, r = 4.7

More information

Sunyia Hussain 06/15/2012 ChE210D final project. Hydration Dynamics at a Hydrophobic Surface. Abstract:

Sunyia Hussain 06/15/2012 ChE210D final project. Hydration Dynamics at a Hydrophobic Surface. Abstract: Hydration Dynamics at a Hydrophobic Surface Sunyia Hussain 6/15/212 ChE21D final project Abstract: Water is the universal solvent of life, crucial to the function of all biomolecules. Proteins, membranes,

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

Structure, Energetics, and Dynamics of Smectite Clay Interlayer Hydration: Molecular Dynamics and Metadynamics Investigation of Na-Hectorite

Structure, Energetics, and Dynamics of Smectite Clay Interlayer Hydration: Molecular Dynamics and Metadynamics Investigation of Na-Hectorite Structure, Energetics, and Dynamics of Smectite Clay Interlayer Hydration: Molecular Dynamics and Metadynamics Investigation of Na-Hectorite Journal: Manuscript ID: jp-0-g.r Manuscript Type: Article Date

More information

Solid-State Diffusion and NMR

Solid-State Diffusion and NMR Solid-State Diffusion and NMR P. Heitjans, S. Indris, M. Wilkening University of Hannover Germany Diffusion Fundamentals, Leipzig, 3 Sept. 005 Introduction Diffusivity in Solids as Compared to Liquids

More information

Computer Simulation of Peptide Adsorption

Computer Simulation of Peptide Adsorption Computer Simulation of Peptide Adsorption M P Allen Department of Physics University of Warwick Leipzig, 28 November 2013 1 Peptides Leipzig, 28 November 2013 Outline Lattice Peptide Monte Carlo 1 Lattice

More information

How DLS Works: Interference of Light

How DLS Works: Interference of Light Static light scattering vs. Dynamic light scattering Static light scattering measures time-average intensities (mean square fluctuations) molecular weight radius of gyration second virial coefficient Dynamic

More information

MOLECULAR DYNAMIC SIMULATION OF WATER VAPOR INTERACTION WITH VARIOUS TYPES OF PORES USING HYBRID COMPUTING STRUCTURES

MOLECULAR DYNAMIC SIMULATION OF WATER VAPOR INTERACTION WITH VARIOUS TYPES OF PORES USING HYBRID COMPUTING STRUCTURES MOLECULAR DYNAMIC SIMULATION OF WATER VAPOR INTERACTION WITH VARIOUS TYPES OF PORES USING HYBRID COMPUTING STRUCTURES V.V. Korenkov 1,3, a, E.G. Nikonov 1, b, M. Popovičová 2, с 1 Joint Institute for Nuclear

More information

Supporting Online Material (1)

Supporting Online Material (1) Supporting Online Material The density functional theory (DFT) calculations were carried out using the dacapo code (http://www.fysik.dtu.dk/campos), and the RPBE (1) generalized gradient correction (GGA)

More information

Luigi Paolasini

Luigi Paolasini Luigi Paolasini paolasini@esrf.fr LECTURE 7: Magnetic excitations - Phase transitions and the Landau mean-field theory. - Heisenberg and Ising models. - Magnetic excitations. External parameter, as for

More information

Wulff construction and molecular dynamics simulations for Au nanoparticles

Wulff construction and molecular dynamics simulations for Au nanoparticles J. Chem. Eng. Chem. Res. Journal of Chemical Engineering and Chemistry Research Vol. **, No. **, 2014, pp. Received: ** **, 2014, Published: ** **, 2014 Wulff construction and molecular dynamics simulations

More information

Ab initio molecular dynamics simulation on temperature-dependent properties of Al Si liquid alloy

Ab initio molecular dynamics simulation on temperature-dependent properties of Al Si liquid alloy INSTITUTE OF PHYSICSPUBLISHING JOURNAL OFPHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter 16 (4) 57 514 PII: S953-8984(4)7691-8 Ab initio molecular dynamics simulation on temperature-dependent properties

More information

Kinetic Monte Carlo Simulation of Molecular Processes on Supported Metal Particles

Kinetic Monte Carlo Simulation of Molecular Processes on Supported Metal Particles INFAP CONICET UNSL Kinetic Monte Carlo Simulation of Molecular Processes on Supported Metal Particles Giorgio Zgrablich Universidad Nacional de San Luis San Luis, Argentina CONTENTS Motivation Non-equilibrium

More information

Lecture 2+3: Simulations of Soft Matter. 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications

Lecture 2+3: Simulations of Soft Matter. 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications Lecture 2+3: Simulations of Soft Matter 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications D. Frenkel, Boulder, July 6, 2006 What distinguishes Colloids from atoms or

More information