4 projects
galpynostatic
A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries.
macchiato
Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes.
sierras
A tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes.
exma
A Python library with C extensions to analyze and manipulate molecular dynamics trajectories and electrochemical data.
