Software

Open computational tools for atomistic simulation analysis

Software projects are maintained as reproducible research infrastructure, with documentation, examples, publication support, and direct links to source repositories.

pySED logo Browse maintained software and related GitHub projects for atomistic simulation workflows. GitHub profile

Projects

Maintained software

GitHub

More code and research utilities

The software list highlights maintained tools. Additional scripts, examples, and project repositories are collected on my GitHub profile.

Open GitHub

Workflow

How the tools fit into the research pipeline

01 / PESMaker Application-oriented MLP datasets

Build application-oriented training sets with foundation-potential-assisted workflows.

02 / MLPs MD trajectories

Run atomistic simulations with classical, hybrid, or machine-learning potentials.

03 / pySED SED analysis

Extract kinetic-energy-weighted phonon dispersion and lifetime information.

04 / Transport Transport insight

Connect phonon-level observables to thermal transport mechanisms.