Preprint
Aug 2026
Towards trajectory-unsupervised physics-informed neural solvers for molecular dynamics
The results indicate that physically meaningful molecular trajectories can emerge directly from physics-only supervision, supporting the feasibility of trajectory-unsupervised neural solvers for molecular dynamics.
Petros Triantafyllos, P. Krokidas, C. Rekatsinas
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