Coupling rare event algorithms with data-based learned committor functions using the analogue Markov chain
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Publication:5101086
DOI10.1088/1742-5468/ac7aa7OpenAlexW3206964262MaRDI QIDQ5101086
D. Lucente, Freddy Bouchet, Corentin Herbert, Joran Rolland
Publication date: 2 September 2022
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2110.05050
Related Items (3)
Computing non-equilibrium trajectories by a deep learning approach ⋮ Predicting rare events using neural networks and short-trajectory data ⋮ Metadynamics for Transition Paths in Irreversible Dynamics
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