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Neural Network Force Field based on PyTorch
Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)
Downloads USPTO patents and finds molecules related to keyword queries
Graph Neural Network to predict the reaction related properties for reinforcement learning
Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)
Atomistic Language Models unify natural language and atomistics to understand, generate, and optimize materials. https://arxiv.org/abs/2606.21395
Mechanism-based reaction-diffusion model to predict FROMP front propagation from monomer molecular descriptors.
Code for XRD-based structure optimization that was used in the study presented in "The Loss Landscape of Powder X-Ray Diffraction-Based Structure Optimization Is Too Rough for Gradient Descent".
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