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Characterizing Metastable States with the Help of Machine Learning.

Journal of chemical theory and computation
Present-day atomistic simulations generate long trajectories of ever more complex systems. Analyzing these data, discovering metastable states, and uncovering their nature are becoming increasingly challenging. In this paper, we first use the variati...