MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
MatClaw: an open materials-science agent that turns natural-language tasks into reproducible simulation workflows.
Awesome list about AI4Polymer
MatAgent: A generative framework for interpretable and targeted inorganic materials design using diffusion-based generation, property prediction, and LLM-driven reasoning.
A curated list of AI agents and related resources for materials science research and applications
Machine Learning For Characterization and Processing Lecture
An atomic structure editing agent that translates intuitive natural language prompts into crystal structure modifications.
AI4C-ML is a machine learning intergration for catalyst discovery, enabling atom generation, data-driven prediction of catalytic performance through descriptor engineering, model optimization, and scalable screening workflows.
Materials Genomics Lecture
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