Reinforcement learning parameterizes an analytical coarse-grained potential for anisotropic cellulose that generalizes to reproduce mechanical properties beyond the training conditions.
Tensile str ength of i β crystalline cellulose predicted by molecular dynamics simulation
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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.