Course Identification

Statistical Thermodynamics
20152292

Lecturers and Teaching Assistants

Prof. David Tannor
Dr. Ella Sanders

Course Schedule and Location

2015
Second Semester
Tuesday, 11:15 - 13:00, FGS, Rm A
Thursday, 11:15 - 13:00, Sussman, Magaritz Rm
31/03/2015

Field of Study, Course Type and Credit Points

Chemical Sciences: Lecture; Elective; Core; 3.00 points
Life Sciences (Systems Biology Track): Lecture; Elective; 3.00 points
Mathematics and Computer Science (Systems Biology / Bioinformatics): Lecture; Elective; 3.00 points

Comments

N/A

Prerequisites

No

Restrictions

No

Language of Instruction

English

Registration by

05/04/2015

Attendance and participation

Obligatory

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

30%
30%
40%

Evaluation Type

Examination

Scheduled date 1

23/07/2015
FGS, Rm C
0900-1200
N/A

Scheduled date 2

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

8

Syllabus

The course will deal with quantities such as energy, entropy, free energy, heat capacity, equilibrium constants and rate constants, with the focus on polyatomic molecules as well as some discussion of metals, Bose-Einstein condensates and vibrations in crystals.

[1] Thermodynamics, Fundamentals (first and second law of thermodynamics, variational statement of the second law, Legendre transforms, Maxwell relations, Gibbs-Duhem equation).

[2] Conditions for Equilibrium and Stability (multiphase and multicomponent equilibrium, the chemical potential, the Gibbs phase rule)

[3] Statistical Mechanics (the connection between microscopic (statistical mechanics) and macroscopic (thermodynamics), microcanonical and canonical ensembles, partition functions, fluctuations, variational development of equilibrium distribution functions, the Gibbs entropy formula)

[4] Non-Interacting (Ideal) Systems. I. (canonical partition functions for translation, rotation and vibration in molecules, the heat capacity, the equilibrium constant and the rate constant)

[5] Non-Interacting (ideal) Systems. II. (Bose and Fermi statistics, photon gas, phonons, electrons in metals, Bose-Einstein condensation)

[6] Statistical Mechanical Theory of Phase Transitions (Ising model, lattice gas, mean field theory, renormalization group theory).

Learning Outcomes

Upon successful completion of the course, the student will be able to:

[1] Explain thermodynamics from two viewpoints: the macroscopic, postulational viewpoint and the microscopic viewpoint.

[2] Develop both an intuitive and a quantitative understanding of the origin of the various partition functions.

[3] Describe how the different thermodynamic variables can be calculated from the partition functions.

Reading List

[1] Introduction to Modern Statistical Mechanics, Chandler
[2] Supplementary: Statistical Mechanics, McQuarrie
[3] Thermodynamics, Callen

Website

N/A