🔭I’m currently working on machine learning applied to materials science 🌱I’m currently learning generative modeling, reinforcement learning, group theory, high performance computing 👯I’m looking to collaborate on machine learning, machine learning force field developments and graph networks for physical/chemical sciences 💬Ask me about anything 📫How to reach me: www.linkedin.com/in/chc273
Interested in materials science, engineering and machine learning.
- Redmond, WA
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
materialsvirtuallab/snap Public archive
Repository for spectral neighbor analysis potential (SNAP) model development.
62 contributions in the last year
Contributed to materialsvirtuallab/m3gnet, chc273/gnn_mrs2022, materialsvirtuallab/megnet
chc273 has no activity yet for this period.