Statistical Thermodynamics: Molecules to Machines
Offered By: Carnegie Mellon University via Coursera
Course Description
Overview
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.
Syllabus
- Theory: Classical Thermodynamics
- Theory: Introduction to Statistics and Statistical Thermodynamics
- Theory: Non-interacting systems
- Theory: Interacting systems
- Applications: Water, Polymer and Photosynthesis
- Applications: Photosynthesis, Liquids
- Application: Adsorption, Electrolytes
- Thank You
Taught by
Venkat Viswanathan
Tags
Related Courses
Statistical Molecular ThermodynamicsUniversity of Minnesota via Coursera Introduction to Thermodynamics: Transferring Energy from Here to There
University of Michigan via Coursera Chemistry: Concept Development and Application Part II
Rice University via Coursera Introduction to Physical Chemistry
University of Manchester via Coursera Advanced Chemistry
University of Kentucky via Coursera