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Physics-informed deep learning has emerged as a promising alternative for solving partial differential equations.
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A. A. Howard, S. Qadeer, A. W. Engel, A. Tsou, M. Vargas, T. Chiang, P. Stinis, The conjugate kernel for efficient training of physics-informed deep operator networks, in: ICLR 2024 Workshop on AI4DifferentialEquations In Science
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