|
Lecturer(s)
|
-
Moučka Filip, doc. RNDr. Ph.D.
|
|
Course content
|
The course is intended for students who focus on particle modelling of liquids and solids. The course extends and deepens the knowledge and abilities of students in the following fields of statistical physics: - Liouville's theorem in classical and quantum mechanics - Canonical and grandcanonical distributions (different approaches of derivation) - Quasiclassical approximation (a general derivation) - Partition functions and distributions in different statistical ensembles (NPT, Gibbs ensemble, osmotic ensemble) - Partition and thermodynamic functions of molecular gasses (triatomic and larger) - Partition and thermodynamic functions of mixtures - Chemical equilibria of ideal gases - Application of quantum statistics (stability of degenerate stars, electron gas in metals, Bose-Einstein condensate) - Systems of interacting particles - Adsorption, transport processes
|
|
Learning activities and teaching methods
|
|
unspecified
|
|
Learning outcomes
|
The course is intended for students who focus on particle modelling of liquids and solids. The course extends and deepens the knowledge and abilities of students in the following fields of statistical physics: - Liouville's theorem in classical and quantum mechanics - Canonical and grandcanonical distributions (different approaches of derivation) - Quasiclassical approximation (a general derivation) - Partition functions and distributions in different statistical ensembles (NPT, Gibbs ensemble, osmotic ensemble) - Partition and thermodynamic functions of molecular gasses (triatomic and larger) - Partition and thermodynamic functions of mixtures - Chemical equilibria of ideal gases - Application of quantum statistics (stability of degenerate stars, electron gas in metals, Bose-Einstein condensate) - Systems of interacting particles - Adsorption, transport processes
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
unspecified
|
|
Recommended literature
|
|