Researcher in machine learning for materials science.
cmlkit. tools for machine learning in condensed matter physics and quantum chemistry
33glp. tools for graph-based machine-learning potentials in jax
27marathon. jax/flax training infrastructure
14gkx. Green-Kubo + JAX + MLPs = Anharmonic Thermal Conductivities Done Fast
8asax. ase + jax-md = asax
8doctor-archive. my dissertation
6simple-hf. Simple Hartree-Fock
3octolog. the octopress setup powering lumenlog.com
3podding. podding. just a mock-up...
2gknet-archive. data and code for "heat flux for semi-local machine-learning potentials"
2eqt-archive. data and code for "Probing the effects of broken symmetries in machine learning"
2floq. FLOQ - A Python module for smooth robust quantum control
2comms. python communications
2renderables. build your own static site generator
2macx. (m)ace + jax
1glp-archive. data and code for "stress and heat flux via automatic differentiation"
1schnetkit. [draft] tools for schnetpack
1metatrain. Training and evaluating machine learning models for atomistic systems.
1error-control-modelling. Material for the EPFL course MATH-500
1specable. [draft] dictionaries to objects and vice versa
1sirmarcel. profile
1cscribe. cmlkit plugin for the dscribe package
1