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Determining Heat Capacity Ratios via Experimental Data and Statistical Mechanics

Students will examine experimental and computational data to compute heat capacity ratios. This module combines analysis of time-resolved pressure measurements with electronic structure calculations to connect experimentally measured thermodynamic behavior to molecular-level statistical thermodynamics. This module is designed for an upper-level undergraduate Physical Chemistry lab.

Lesson/Module Contents

Provide a brief overview of the structure of your module or lesson as an enumerated list below:

  1. Data Filtering and Computational Chemistry
    • Directory: 01_pre-lab-activity
    • Description: Watch some videos and learn about how to filter data and run some basic electronic structure calculations in Psi4
    • Time: 0.5-1 hour
  2. Adiabatic Expansion of Gases
    • Directory: 02_adiabatic-expansion
    • Description: Examine results from a dynamical version of the Clement-Desormes experiment to determine the heat capacity ratio of gases through Python analysis and statistical mechanics
    • Time: 2-3 hours

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