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An introduction to scientific computation in soft matter and statistical physics 

These activities were developed and presented by the Beller Group at the CREST Science and Computing Research Summer Program / CCBM Virtual Sessions. The links below are to Jupyter Python notebooks that open and run in-browser through Google's Colab platform. Each notebook contains a link to activity descriptions, designed for a high-school level and approximately 1-hour sessions.

  1. Forest fire
    https://colab.research.google.com/drive/1JQR5_5BVYHBezLrQ9ZRis-SE4WGHz_3H
  2. Cahn-Hilliard Phase Separation ("Oil and Vinegar", see screenshot below)
    https://colab.research.google.com/drive/1YjvrFQonsCXdtNxXIK2eS7VReUuJW_3T
  3. Disease Spread Model (SEIR), by Jimmy Gonzalez Nunez
    https://colab.research.google.com/drive/1UTUVR31ONdmEfCzWHsp-54IYBN3gFw5s

Phase Separation Simulation

Code related to research and graduate education
 

Landau-de Gennes modeling of nematic relaxation in 2D, using Python 3.x:
LdG2D.py
and using Python 2.7:
LdG2D_py2.py

Gradient descent demo in Mathematica:
https://ucmerced.box.com/s/g05h901flgznma3m3xfmwrqu4ihb4bmx