PřF:C5300 Statistical Thermodynamics - Course Information
C5300 Statistical Thermodynamics
Faculty of ScienceAutumn 2022
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- Teacher(s)
- doc. Mgr. Jana Pavlů, Ph.D. (lecturer)
prof. RNDr. Mojmír Šob, DrSc. (lecturer)
prof. RNDr. Jan Vřešťál, DrSc. (lecturer) - Guaranteed by
- doc. Mgr. Jana Pavlů, Ph.D.
Department of Chemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Chemistry – Chemistry Section – Faculty of Science - Timetable
- Tue 10:00–11:50 C12/311
- Prerequisites
- Basic university level knowledge of mathematics and physical chemistry (equilibrium, kinetics, chemical structure and quantum chemistry - contained in courses: M1010, M2010, C4660, C4020).
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Physical Chemistry (programme PřF, D-CH4)
- Physical Chemistry (programme PřF, N-CHE)
- Materials Chemistry (programme PřF, D-CH4)
- Material Chemistry (programme PřF, N-CHE)
- Course objectives
- The aim of the course is to explain the basic terms of statistical thermodynamics of gases, liquids and solids and outline possibilities of their application in chemistry.
- Learning outcomes
- Student will be able to:
- describe and explain the basic concepts and principles of statistical thermodynamics;
- compare and highlight the differences between the description of gaseous, liquid and solid phases;
- identify and describe individual contributions to the overall energy of the system;
- explain the possibilities of using the principles of statistical thermodynamics in chemistry;
- identify and explain the connections between the terms used by statistical thermodynamics and the measurable variables in real systems - Syllabus
- 1. Statistical thermodynamics and molecular structure of matter. Postulates of statistical thermodynamics. Configuration and weight of state. Population of state. Most probable configuration. Lagrange multiplicators method, Boltzmann distribution.
- 2. Molecular partition function and its interpretation. Molecular partition function of harmonic oscillator. Calculation of population of states. Translation partition function.
- 3. Internal energy and entropy in statistical thermodynamics. Internal energy and partition function. Calculation of heat capacity at constant volume. Internal energy of perfect gas. Boltzmann formula for entropy. Calculation of entropy of oscillators ensemble.
- 4. Canonical partition function. Microcanonical, canonical and grand-canonical ensemble. Partition function of canonical ensembles - most probable configuration. Calculation of internal energy and entropy by using of canonical partition function. Comparison of statistical and thermodynamic functions. Partition function of perfect gas.
- 5. Entropy of monoatomic gas. Sackur-Tetrode equation. Physical statistics.
- 6. Chemical applications of statistical thermodynamics. Calculation of Gibbs energy by use of partition function. Contributions to partition function: translational, vibrational, rotational and electronic.
- 7. Mean value of energy. Rotational and vibrational temperature. Equipartition principle. Calculation of heat capacity of gases. 8.Statistical description of chemical equilibrium. Calculation of equilibrium constant of chemical reaction by means of partition functions of reactants and products.
- 9. Statistical thermodynamics of real gas. Pair potentials. Configurational integral. Thermodynamic functions for pair interactions. Cluster formation. Virial coefficients. Residual entropy.
- 10. Statistical thermodynamics of liquids. Cell theory of liquids and compressed gases. Principle of corresponding states. Statistical expression of vapour-liquid equilibria. Theory of free volume of liquids. Calculation of pressure of saturated vapours. Distribution function in monoatomic liquids. Radial correlation function.
- 11. Statistical thermodynamics of crystal. Einstein and Debye models. Characteristic temperatures. Fonons.
- 12. Vibrational and configurational entropy. Regular solution model.
- Model of polymer solution (Flory-Huggins). Adsorption.
- 13. Fluctuations of particles and thermodynamic properties. Statistics of fluctuations. Fluctuations of energy and of thermodynamic variables. Brownian motion. Relations between chemical equilibrium and chemical kinetics. Spontaneous organisation in systems.
- Literature
- Teaching methods
- Lectures focused on the understanding of the principles of subject and their relations to practical applications. In connection with current measures taken regarding the spread of COVID-19, the method of teaching will be modified as follows: teaching will be conducted online in the MS Teams program or through recorded lectures (commented electronic presentations). If interested, the lectures will be supplemented by online consultations.
- Assessment methods
- The examination with a range corresponding to the syllabus of the subject can be realized in one of two forms: 1. in-class oral or 2. remote oral via MS Teams.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
- Enrolment Statistics (Autumn 2022, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2022/C5300