Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks

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A novel high order space-time spectral method for the time fractional Fokker-Planck equation

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Minling Zheng, Fawang Liu, Ian Turner, and Vo Anh · 2008

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Most probable dynamics of a genetic regulatory network under stable Lévy noise

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Manfred Opper · 2019

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fpinns: Fractional physics-informed neural networks

Guofei Pang, Lu Lu, and George Em Karniadakis · 2019

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

Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019

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npinns: nonlocal physics-informed neural networks for a parametrized nonlocal universal laplacian operator. algorithms and applications

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Guofei Pang, Marta D’Elia, Michael Parks, and George Em Karniadakis · 2020

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Solving Fokker–Planck equation using deep learning

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