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Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations, и . (2017)cite arxiv:1708.00588.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)Real Estate Property Valuation using Self-Supervised Vision Transformers., и . CoRR, (2023)Systems biology informed deep learning for inferring parameters and hidden dynamics., , , и . PLoS Comput. Biol., (2020)Physics-Informed Machine Learning for Smart Additive Manufacturing., , и . CoRR, (2024)Machine Learning of Linear Differential Equations using Gaussian Processes., и . CoRR, (2017)Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations, , и . (2017)cite arxiv:1711.10561.Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations, , и . (2017)cite arxiv:1711.10566.Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022., , , и . Big Data, 9 (6): 409-410 (2021)Temporal Consistency Loss for Physics-Informed Neural Networks., , , и . CoRR, (2023)