Trajectory forecasting lifts the femtosecond ceiling in molecular simulation

Summary

A new deep learning method enables molecular dynamics simulations over longer time scales while still achieving accurate physical property prediction. Published online in Nature Machine Intelligence on August 5, 2026, the method promises to overcome the femtosecond ceiling that limits conventional simulation time steps, potentially expanding the applicability of molecular simulations in fields such as materials science and biomolecular research.