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.
- Forest fire
- Cahn-Hilliard Phase Separation ("Oil and Vinegar", see screenshot below)
- Disease Spread Model (SEIR), by Jimmy Gonzalez Nunez
Code related to research and graduate education
Gradient descent demo in Mathematica: