Statistical Thermodynamics: Molecules to Machines

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 物理

大学或机构: 其他大学或机构



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Modern engineering research focuses on designing new materials and processes at the molecular level. Statistical thermodynamics provides the formalism for understanding how molecular interactions lead to the observed collective behavior at the macroscale. 

This course will develop a molecular-level understanding of key thermodynamic quantities like heat, work, free energy and entropy. These concepts will be applied in understanding several important engineering and biological applications.


The class will consist of 5 modules developing the theoretical aspects of statistical thermodynamics and 9 application modules applying the theory to systems of practical interest.

  1. Theory: Classical and Quantum Mechanics
  2. Theory: Classical Thermodynamics
  3. Theory: Introduction to Statistical Thermodynamics
  4. Theory: Modeling non-interacting systems
  5. Theory: Modeling interacting systems
  6. Applications: Water
  7. Applications: Polymers
  8. Applications: Photosynthesis
  9. Applications: Liquids
  10. Applications: Adsorption
  11. Applications: Electrolytes
  12. Applications: Oxides and defects
  13. Applications: Electron and thermal transport
  14. Applications: Thermoelectrics



Thermodynamics explains phenomena we observe in the natural world and is the cornerstone of all of engineering. You're going to learn about thermodynamics from a molecular picture where we'll combine theory with a wide range of practical applications and examples. But be warned: this is a fast-paced, challenging course. Everyone is welcome, but hold on to your hat!


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