AI for molecular dynamics has a data problem. The trajectories you need to train on are expensive. EGInterpolator (ICLR 2026, with Stanford) learns molecular s

AI for molecular dynamics has a data problem. The trajectories you need to train on are expensive. EGInterpolator (ICLR 2026, with Stanford) learns molecular structure first from abundant conformer data, then uses scarce MD data to learn motion. On the DRUGS benchmark, it reduced the gap to refere…