Numerical simulation of a fractional stochastic delay differential equations using spectral scheme: a comprehensive stability analysis. [PDF]
Sci RepLi S +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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Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination. [PDF]
Sci RepAgata R, Shiraishi K, Fujie G.
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A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions. [PDF]
BMC Res NotesDeresse AT, Bekela AS.
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A primer on variational inference for physics-informed deep generative modelling. [PDF]
Philos Trans A Math Phys Eng SciGlyn-Davies A +4 more
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Employing variance component estimation for point cloud based geometric surface representation by B-splines. [PDF]
J Appl GeodÖtsch E, Harmening C, Neuner H.
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Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]
PLoS OneMumtaz K +3 more
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An approach to flow field prediction over the horizontal axis wind turbine by passive flow control device using CNN-Autoencoder model. [PDF]
Sci RepSedighi H +3 more
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A fast validation test of gene regulatory network models via the Fokker-Planck equation. [PDF]
J Biol PhysLópez-Paleta N +2 more
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Computational analysis of a class of singular nonlinear fractional multi-order heat conduction model of the human head. [PDF]
Sci RepIzadi M, Atangana A.
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