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

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

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Real Estate Property Valuation using Self-Supervised Vision Transformers., and . CoRR, (2023)Systems biology informed deep learning for inferring parameters and hidden dynamics., , , and . PLoS Comput. Biol., (2020)Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations, and . (2017)cite arxiv:1708.00588.Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations, , and . Journal of Computational physics, (2019)Physics-Informed Machine Learning for Smart Additive Manufacturing., , and . CoRR, (2024)Machine Learning of Linear Differential Equations using Gaussian Processes., and . CoRR, (2017)Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations, , and . (2017)cite arxiv:1711.10561.Temporal Consistency Loss for Physics-Informed Neural Networks., , , and . CoRR, (2023)Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations, , and . (2017)cite arxiv:1711.10566.A deep learning framework for solution and discovery in solid mechanics: linear elasticity., , , , and . CoRR, (2020)