ME 419
Molecular Modeling of Soft Matter
Gaurav Arya
Description from DukeHub
Fundamentals and application of statistical mechanics and molecular simulations towards modeling biological and soft materials. Students will learn a variety of computational techniques including energy minimization, molecular dynamics simulations, Monte Carlo simulations, and stochastic dynamics simulations. Students will obtain valuable hands on experience in using molecular simulation software, visualizing molecular systems, and analyzing simulation data for computing material properties. Prerequisites: Basic programming skills in C, MATLAB, Fortran, or Python. Basic undergraduate-level understanding of concepts in mathematics, physics, and chemistry.
Skills
- programmingdescription: "software" and 2 more
- data and statisticstitle: "modeling"
AI-resilient: 0 of 5
- No: Physical, lab or field work
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in ME
- Structure and Properties of Solids ME 221L
- Mechanical Engineering Analysis for Design ME 321L
- Thermodynamics ME 331L
- Fluid Mechanics ME 336L
- Mechanical Systems Design ME 424L
- Constructal Theory and Design ME 438