From post

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

, , и . Journal of Computational physics, (2019)

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.

 

Другие публикации лиц с тем же именем

Fractional Spectral Collocation Method., и . SIAM J. Sci. Comput., (2014)Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators., и . SIAM J. Sci. Comput., 26 (2): 720-735 (2004)Unsteady Two-Dimensional Flows in Complex Geometries: Comparative Bifurcation Studies with Global Eigenfunction Expansions., , , и . SIAM J. Sci. Comput., 18 (3): 775-805 (1997)Numerical Methods for SPDEs with Tempered Stable Processes., и . SIAM J. Sci. Comput., (2015)Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets., , и . SIAM J. Sci. Comput., (2016)Gappy data: To Krig or not to Krig?, , и . J. Comput. Phys., 212 (1): 358-382 (2006)NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators., , , и . SIAM Rev., 66 (1): 161-190 (февраля 2024)Simulating and visualizing the human arterial system on the TeraGrid., , , , , и . Future Gener. Comput. Syst., 22 (8): 1011-1017 (2006)Special Issue on "Fractional PDEs: Theory, Numerics, and Applications"., , и . J. Comput. Phys., (2015)The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications., , и . J. Comput. Phys., 227 (22): 9572-9595 (2008)