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While physics conveys knowledge of nature built from an interplay between observations and theory, it has been considered less importantly in deep neural networks.
Neuroanimator: Fast neural network emulation and control of physics-based models
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Battaglia, P. W., Hamrick, J. B., Bapst, V., Sanchez-Gonzalez, A., Zambaldi, V., Malinowski, M., Tacchetti, A., Raposo, D., Santoro, A., Faulkner, R., et al · 2018
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Raissi, M · 2018
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Raissi, M., Perdikaris, P., and Karniadakis, G. E
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Raissi, M., Perdikaris, P., and Karniadakis, G. E
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Hidden physics models: Machine learning of nonlinear partial differential equations
Raissi, M. and Karniadakis, G. E · 2018
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Graph networks as learnable physics engines for inference and control
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