| Contents |
| Topic | Sub-topic |
| 1. Thermodynamic Postulates | |
| 2. Classical mechanics and quantum mechanics. Statistical Mechanics | |
| The Monte Carlo technique. | Importance of sampling Metropolis algorithm Basic Monte Carlo algorithm Trial moves |
| Molecular dynamics | Intergration of the equations of motion Estimation of statistical information |
| Monte Carlo simulation in different ensembles | Microcanconical Isothermal-isobaric Grand canonical |
| Molecular dynamics in different ensembles | Canonical ensemble Car-Parinello method |
| Free energy calculations | Thermodynamic Integration Chemical Potentials |
| Personalized attention |
| Description |
| Individual Tutorials: Tuesday and Thursday from 10:00 to 13:00 |
| Assessment |
| Other comments and second exam session |
| Sources of information |
| Basic |
D. Frenkel and B. Smit, Understanding Molecular Simulation, , Academic Press |
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| Complementary |
B Widom, • Statistical Mechanics: A Concise Introduction for Chemists, , Cambridge University Press
D. A. McQuarrie, • Statistical Thermodynamics, , University Science Books
J-P. Hansen and I.R. McDonald, • Theory of Simple Liquids, , Academia Press
D. Chandler, • Introduction to Modern Statistical Mechanics, , Oxford University Press
P. Ungerer, B.Tavitian and A. Boutin , Applications of Molecular Simulation in the Oil and Gas Industry. Monte Carlo Methods , , Editions Technip
M. P. Allen and D.J. Tildesley, Computer Simulation of Liquids, , Oxford Science Publications |
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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