Skip to content

brianysoong/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

pybamm

Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.

Version
1.1
License
MIT
Compatibility
Requires Python 3.12 with PyBaMM 26.9.0.0 and pybammsolvers 0.10.0 (IDAKLU). NumPy and CasADi are supplied by PyBaMM. Network is needed for installation and optional upstream dataset retrieval; bundled simulations and CSV comparisons run locally without credentials.
Read SKILL.md at the source

Pinned to revision 866a8c316da0, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.