Yiannis N. Kaznessis is a Professor in the Department of Engineering and Materials Science at the University of Minnesota, where he has taught statistical thermodynamics since 2001. He has received several awards and recognitions including the Fulbright Award, the US National Science Foundation CAREER Award, the 3M non-Tenured Faculty Award, the IBM Young Faculty Award, the AIChE Computers and Systems Technology Division Outstanding Young Researcher Award and the University of Minnesota College of Science and Engineering Charles Bowers Faculty Teaching Award.
Inhaltsangabe
1. Introduction 2. Elements of probability and combinatorial theory 3. From classical to quantum mechanics, and back 4. Ensemble theory 5. Canonical ensemble 6. Fluctuations and other ensembles 7. Molecules 8. Non-ideal gases 9. Liquids and crystals 10. Beyond pure, single-component systems 11. Polymers - Brownian dynamics 12. Non-equilibrium thermodynamics 13. Stochastic processes 14. Molecular simulations 15. Monte Carlo simulations 16. Molecular dynamics simulations 17. Analyzing simulation results 18. Simulations of stochastic reaction kinetics.
1. Introduction 2. Elements of probability and combinatorial theory 3. From classical to quantum mechanics, and back 4. Ensemble theory 5. Canonical ensemble 6. Fluctuations and other ensembles 7. Molecules 8. Non-ideal gases 9. Liquids and crystals 10. Beyond pure, single-component systems 11. Polymers - Brownian dynamics 12. Non-equilibrium thermodynamics 13. Stochastic processes 14. Molecular simulations 15. Monte Carlo simulations 16. Molecular dynamics simulations 17. Analyzing simulation results 18. Simulations of stochastic reaction kinetics.
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