AI Chemistry Data Debate Sparks Discussion on Diffusion-Based Free Energy Learning

A debate over AI for Science data bottlenecks questions where AI chemistry simulation data comes from, given AlphaFold relied on decades of publicly funded protein data. Researcher Timothy Duignan presents a pipeline using diffusion models and force matching to learn free energy surfaces from quantum chemistry data.

2026-10-28 ~ 2026-10-28 · 2 related posts

• The AlphaFold Data Problem: Quantum Chemistry Models as Training Data for Larger Scales — TimothyDuignan · 2026-10-28
• Using diffusion models and force matching to learn free-energy surfaces for molecular simulation — TimothyDuignan · 2026-10-28