An Attention-based Spatio-Temporal Neural Operator for Evolving Physics. [PDF]
Mach Learn Sci TechnolKarkaria V +4 more
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WF-PINNs: solving forward and inverse problems of burgers equation with steep gradients using weak-form physics-informed neural networks. [PDF]
Sci RepWang X, Yi S, Gu H, Xu J, Xu W.
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A locally adaptive regularization of a hybrid variational model for color image diffusion via integration of diffusion with normalized data. [PDF]
Sci RepArain MB +6 more
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Multiresolution based adaptive schemes for second order hyperbolic PDEs in elastodynamic problems
, 2013 H. Yousefi, A. Noorzad, J. Farjoodi
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Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery. [PDF]
Adv Neural Inf Process SystYu Y +5 more
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Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]
Physiol MeasZhao A, Fattahi D, Hu X.
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Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data. [PDF]
Adv Sci (Weinh)Srikitrungruang T +4 more
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Inf-sup stable space-time Local Discontinuous Galerkin method for the heat equation. [PDF]
J Sci ComputGómez S, Perinati C, Stocker P.
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Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks. [PDF]
PNAS NexusKarnakov P, Litvinov S, Koumoutsakos P.
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MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AI. [PDF]
Sci AdvToscano JD +7 more
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