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Molecular dynamics has become a powerful tool of modern physics and chemistry that is essential for our
understanding of complex molecular systems and the condensed phase in general. This course introduces the
fundamental methodology of molecular dynamics, with emphasis on its foundation in classical mechanics and
statistical mechanics. Exercises offer an opportunity to immediately apply lecture material in practical computation.
The course is suitable for Mgr. and Ph.D. students with knowledge of classical mechanics and basic statistical
mechanics.
Last update: Procházka Marek, prof. RNDr., Ph.D. (28.01.2019)
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Class credit will be given for the successful execution of calculations in practical computational exercises.
The exam will be given for independent completion of a computational project. The student will perform calculations and prepare a report. After handing in the report, they will answer questions on the project within the scope of the topics covered by the course. The topic of the project will be chosen from a list provided by the lecturer, or based on the interest of the student within the topics covered by the class, after consulting with the lecturer. Last update: Maršálek Ondřej, RNDr., Ph.D. (30.10.2019)
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Tuckerman - Statistical Mechanics: Theory and Molecular Simulation, Oxford University Press, 2010 ISBN 9780198525264 Frenkel, B. Smit: Understanding Molecular Simulations: From Algorithms to Applications - Academic Press: San Diego, 2001, ISBN 0122673514 Last update: Procházka Marek, prof. RNDr., Ph.D. (30.04.2019)
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● Numerical propagators for MD derived from the Liouville operator ● Thermostats and barostats, simulating the NVT and NpT ensembles ● Molecular interactions and their numerical evaluation ● Calculating static properties from MD, link to thermodynamics, error estimation ● Energy transfer in MD simulations, local and global thermostats ● Calculating dynamical properties from time correlation functions ● Constraints and restraints ● External biases and non-equilibrium simulations
Last update: Procházka Marek, prof. RNDr., Ph.D. (28.01.2019)
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