Thermodynamics: classical to statistical

Thermodynamics: classical to statistical by Indian Institute of Technology Guwahati

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Created by Guwahati Staff Last updated Wed, 09-Mar-2022 English


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Syllabus / What will i learn?

Thermodynamics: classical to statistical [Introduction Video].
Lec 01: Concepts of Heat and Work [First Law of Thermodynamics].
Lec 02: Concepts of Enthalpy and Heat Capacity.
Lec 03: Introduction to Entropy.
Lec 04: Calculation of entropy for various processes.
Lec 05: Gibbs and Helmholtz free energy.
Lec 06: Introduction to chemical potential.
Lec 07: Clapeyron equation and phase transition; concept of fugacity.
Lec 08:Calculation of fugacity; free energy of mixing.
Lec 09: Partial molar quantities; excess thermodynamic quantities.
Lec 10: Concept of activity and activity coefficients; Debye-Huckel limiting law.
Lec 11: Phase Diagram of one component systems.
Lec 12: Phase Diagram of two component systems.
Lec 13: Phase Diagram of three component system; one dimensional random walk.
Lec 14: Macroscopic and microscopic states; Boltzmann distribution; Canonical partition function.
Lec 15: Calculation of different thermodynamical quantities using canonical partition function.
Lec 16: Introduction to molecular partition function.
Lec 17: Translational, electronic and nuclear partition function.
Lec 18: Rotational partition function.
Lec 19: Vibrational partitition function; Introduction to grand canonical ensemble.
Lec 20: Grand canonical distribution; Introduction to microcanonical ensemble.
Lec 21: Problems on classical thermodynamics-1.
Lec 22: Problems on classical thermodynamics-2.
Lec 23: Problems on statistical thermodynamics-1.
Lec 24: Problems on statistical thermodynamics-2.
Lec 25: Problems on statistical thermodynamics-3.
Lec 26: Fermi-Dirac and Bose-Einstein statistics.
Lec 27: Ideal Fermi Gas.
Lec 28: Ideal Bose gas; Introduction to Bose-Einstein condensation.
Lec 29: Bose-Einstein Condensation.
Lec 30: Nuclear spin statistics; Ortho- and para-hydrogens.
Lec 31: Specific Heats of Solids.
Lec 32: Problems on statistical thermodynamics-4.
Lec 33: Advance problems-1.
Lec 34: Advance Problems-2.
Lec 35: Advance Problems-3.
Lec 36: Advance Problems-4.Lec 37: Advance Problems-5.



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COURSE OUTLINE: This course is intended for final year BSc (in Chemistry) as well as for MSc (in Chemistry) and PhD (in Chemistry) students and it is assumed that no previous knowledge of the subject is required. Moreover, this course demonstrates the form physical and statistical basis of thermodynamics by showing how the properties of macroscopic systems are direct consequences of the behaviors of their elementary constituents. Thus this course will give the students a broader spectrum of skills as well as a better understanding of the physical bases.

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