Reinforcement learning parameterizes an analytical coarse-grained potential for anisotropic cellulose that generalizes to reproduce mechanical properties beyond the training conditions.
Evaluati on of nanocellulose interaction with water pollutants using nanocellulose colloidal probes and molec ular dynamic simulations
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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.