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The purpose of the Ph.D. student course is to present the key chapters of statistical mechanics and to illustrate its advanced application on a description of thermodynamics and structure properties of model many-body interacting systems.
Last update: Matějka Pavel (03.09.2019)
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Oral exam. Last update: Malijevský Alexandr (04.10.2018)
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R: B. Widom: Statistical Mechanics (A concise introduction for chemists), Cambridge university press, Cambridge 2002. A: J.-P. Hansen a I.R. McDonald: Theory of simple liquids, 3rd Edition, Elsevier, Amsterdam 2006. Last update: Řehák Karel (17.10.2018)
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Lecture or consultations. Last update: Malijevský Alexandr (04.10.2018)
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1) Statistical mathematics, fundamentals. Mean, fluctuation, correlation. 2) Statistical distributions. Binomial, Poisson, normal. 3) The fundamental theorem of statistical mechanics. Ergodic hypothesis. Time average versus ensemble average. 4) Microcanonical ensemble. Statistical entropy. Conditions of phase equilibrium. 5) Canonical ensemble. Boltzmann factor. Partition function. 6) Virial and equipartition theorem. 7) Grand-canonical ensemble. 8) Ideal crystal. 9) Non-interacting molecules. Vibration and rotation. 10) Non-ideal gas. Correlation functions. 11) Integral theory. Last update: Matějka Pavel (04.09.2019)
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None. Last update: Malijevský Alexandr (04.10.2018)
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Students will understand fundamentals of statistical mechanics and will be able to predict a macroscopic behaviour of thermodynamic systems from the knowledge of interaction properties of the microscopic constituents. Last update: Malijevský Alexandr (04.10.2018)
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Physical chemistry (bachelor courses) Last update: Řehák Karel (24.10.2018)
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