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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LimbNET: collaborative platform for simulating spatial patterns of gene networks in limb development. [PDF]
Mol Syst BiolMatyjaszkiewicz A, Sharpe J.
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Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]
Sci RepQureshi H, Altmeyer S, Zubair M.
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A deep neural network model for heat transfer in darcy-forchheimer hybrid nanofluid flow with activation energy. [PDF]
Sci RepAyman-Mursaleen M +4 more
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A PINN-driven game-theoretic framework in limited data photoacoustic tomography. [PDF]
Inverse ProblRoy S, Pal S.
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A Lattice Boltzmann BGK Model with an Amending Function for Two-Dimensional Second-Order Nonlinear Partial Differential Equations. [PDF]
Entropy (Basel)Bi X, Lei J, Li D, Lai L, Lai H, Liu Z.
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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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Physics-Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification. [PDF]
Int J Numer Method Biomed EngRyan W +4 more
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Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]
Commun EngPeng M, Tang H.
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A fast quantum algorithm for solving partial differential equations. [PDF]
Sci RepFarghadan A +2 more
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