Author of the publication

Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations

, and . (2017)cite arxiv:1708.00588.
DOI: 10.1016/j.jcp.2017.11.039

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease, , and . Soft Matter, 9 (1): 28-37 (2013)Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging., , and . CoRR, (2020)Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations., , and . SIAM J. Sci. Comput., 42 (1): A292-A317 (2020)On the Convergence and generalization of Physics Informed Neural Networks., , and . CoRR, (2020)Meta-learning PINN loss functions., , and . J. Comput. Phys., (2022)Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks., , , and . CoRR, (2023)Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks., , , and . CoRR, (2023)Two-scale Neural Networks for Partial Differential Equations with Small Parameters., , , and . CoRR, (2024)Bi-orthogonal fPINN: A physics-informed neural network method for solving time-dependent stochastic fractional PDEs., , , , and . CoRR, (2023)Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates., , and . CoRR, (2021)