Course: Statistic Thermodynamics

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Course title Statistic Thermodynamics
Course code KFC/PGSST
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 20
Language of instruction Czech, English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Berka Karel, prof. RNDr. Ph.D.
  • Blonski Piotr, Ph.D.
Course content
Firstly the lectures will be aimed on the laws of the statistical thermodynamics, statistical collections and the importance of the partition function. Consequently the attention will be devoted to the calculations of the thermodynamic functions from the partition function point of view. Additionally there will be discussed different forms of matter from the statistical thermodynamics point of view: ideal and real gases, liquid, and ideal crystal. There will be also paid attention to the problematic of mixtures. The following lectures will be aimed on the adsorption, Brownian motion and Markovovsky processes. At the end of the course there will be discussed one chapter, which comprises the possibilities of modern calculations of the discussed quantities based on the computer simulations. 1. Laws of statistical thermodynamics, Boltzmann differentiation. 2. Partition function, partition function of harmonic oscillator, translative partition function. 3. Inner energy, heat capacity and entropy, Boltzmann relation for entropy. 4. Statistic collections - NVE, NVT, NpT, mVT, Bose-Einstein and Fermi-Dirac statistics. 5. Partition and thermodynamic functions, fluctuation quantities, residual entropy. 6. Ideal gas - partition functions of the ideal gas, entropy of the mono-atomic gases. 7. Molecules of the partition function and its chemical applications, calculation of mean energies and heat capacities, perfect gas equation of state, chemical equilibrium. 8. Real gas - intermolecular forces, configuration partition function, virial equation and calculation of virial coefficients, Joule - Thompson coefficient, van der Waals equation. 9. Liquids - cell theory of liquids, theory of free content, calculation of the pressure of saturated gasses, radial of the correlation function. 10. Ideal crystal - Einstein model, Debye model. 11. Solutions - Hildebrand theory of the regular solution, structural theory of solutions. 12. Adsorption - Langmuir isotherm and BET isotherm, Brownian motion, Markovovsky processes. 13. Computer chemistry and statistical thermodynamics - method of molecular dynamics and method Monte Carlo

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming)
  • Preparation for the Exam - 0 hours per semester
Learning outcomes
In the course of the lectures the students will get acquainted with the introductions of statistical thermodynamics and its applications in branches of chemistry.
ability to explain general aspects of statistical thermodynamics in detail
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

Recommended literature
  • Bevan J Ott, Boerio-Goates J. (2000). Chemical Thermodynamics. Academia London.
  • Chang L. Tien, J.H.Lienhard IV. (2005). Satistical Thermodynamics. New York.
  • Laurendeau N. (2005). Statistical Thermodynamics: Fundamentals and Applications. Cambridge.
  • Vřešťál L, Otyepka M. (2004). Statistická termodynamika. Brno.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester