Recurrent neural network-based multiaxial plasticity model with regularization for physics-informed constraints

Long Short-Term Memory

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Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

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Neural networks and physical systems with emergent collective computational abilities.

J. J. Hopfield · Proceedings of the National Academy of Sciences · 1982 · 19.3K citations

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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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Natural Sciences, Computer Science, Physics +16

PyTorch: An Imperative Style, High-Performance Deep Learning Library

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