Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
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Optimising chemical reactions using machine learning
Chemical 2D structure editor application/applet based on the Chemistry Development Kit
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Simple webapp for generating small ligand conformers