Statistical Molecular Thermodynamics

开始时间: 04/22/2022 持续时间: 11 weeks

所在平台: CourseraArchive

课程类别: 化学

大学或机构: University of Minnesota(美国明尼苏达大学)

授课老师: Christopher J. Cramer

课程主页: https://www.coursera.org/course/thermodynamics

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课程简介

This introductory physical chemistry course examines the connections between molecular properties and the behavior of macroscopic chemical systems.

课程大纲

Topics covered:
Week 1:

Overview of thermodynamics and its importance and utility.
Molecular energy levels from quantum mechanics.
Week 2:
Ideal gases; Equations of state; PV diagrams.
Gases and liquids; Corresponding states.
Dispersion; Intermolecular interactions; Real gases.
Week 3:
Boltzmann probability and connection to energy; Ensemble properties.
Heat capacity; Partition functions.
Atomic and molecular partition functions; Connections to quantum mechanics (statistical thermodynamics).
Week 4:
Electronic and translational partition function for gases; Rovibrational partition functions.
Heat capacities.
Week 5:
First law of Thermodynamics; Energy; PV Work; State functions.
Adiabaticity; Reversibility; Heat and work.
Enthalpy; Heat capacity redux; Heat of transition.
Enthalpy of chemical reaction; Heat of formation; Standard-state enthalpy.
Week 6:
Second law; Order/disorder; Entropy.
Spontaneity and entropy; Statistical thermodynamics and entropy; Reversibility.
Entropy and the interconversion of heat and work; Entropy and the partition function.
Week 7:
Third law; Temperature limits; Perfect crystals; Phase transitions.
Experimental determination of third-law entropies; Standard-state entropy.
Week 8:
Helmholtz and Gibbs free energies; Ensemble conditions.
Maxwell relations; Ideal gas state functions; Independent variables.
Gaseous standard state; Gibbs-Helmholtz equation; Fugacity.

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课程详情

This introductory physical chemistry course examines the connections between molecular properties and the behavior of macroscopic chemical systems.

课程标签

统计分子热力学 分子热力学 热力学 统计热力学 统计 分子 物理 化学 物理化学 明尼苏达大学

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