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Physics-informed machine learning

, , , , , и . Nature Reviews Physics, 3 (6): 422--440 (2021)
DOI: 10.1038/s42254-021-00314-5

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George Em Marica

Mena em Zulai

George Mertzios

Combinatorial optimization and recognition of graph classes with applications to related models. TU Aachen, (2009)

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Darius Ka em kas

 

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On the Convergence and generalization of Physics Informed Neural Networks., , и . CoRR, (2020)Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations., , и . SIAM J. Sci. Comput., 42 (1): A292-A317 (2020)Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging., , и . CoRR, (2020)Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease, , и . Soft Matter, 9 (1): 28-37 (2013)AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images., , , , , , , и . CoRR, (2021)Parallel Physics-Informed Neural Networks via Domain Decomposition., , и . CoRR, (2021)DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations., и . CoRR, (2024)Meta-learning PINN loss functions., , и . J. Comput. Phys., (2022)Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems., , , и . CoRR, (2021)Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates., , и . CoRR, (2021)