Reinforcement learning parameterizes an analytical coarse-grained potential for anisotropic cellulose that generalizes to reproduce mechanical properties beyond the training conditions.
Atomistic s imulation of frictional sliding between cellulose iβ nanocrystals
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Analytical coarse grained potential parameterization by Reinforcement Learning for anisotropic cellulose
Reinforcement learning parameterizes an analytical coarse-grained potential for anisotropic cellulose that generalizes to reproduce mechanical properties beyond the training conditions.