Chicago Materials Research Center

Machine learning active nematic hydrodynamics

Machine learning active nematic hydrodynamics

Machine-learned hydrodynamic parameters in lattice Boltzmann simulations. (A and B) Nematic director fields (C and D) Representations of the director field (E) Schematic of network architecture. Artificial intelligence holds considerable promise for transforming...
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