arXiv · 2508.01477
The seeds of the future are in the present: A blind exploration of metastable states
Abstract
In this work, we present a novel type of molecular dynamics simulation that aims at discovering, in a blind way, new metastable states. Using only data coming from an initial unbiased simulation, and with the help of an appropriately defined loss function, we compute a bias that favors sampling yet unexplored configurational space regions, encouraging the system to leave the initial basin. In our work, we take advantage of what is normally thought to be a defect, namely the difficulty of neural networks to generalize. Contrary to most other enhanced sampling methods, which need previous knowledge of the reactive process, we are able to discover in a blind way new metastable states, overcoming otherwise insuperable kinetic bottlenecks. We illustrate the workings of the method with a number of instructive examples.
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Timothée Devergne, Vladimir Kostic, Massimiliano Pontil, Michele Parrinello. 2025-08-02. The seeds of the future are in the present: A blind exploration of metastable states. https://arxiv.org/abs/2508.01477
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