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Petros Triantafyllos

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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 · 0 citations

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