Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]
Qureshi H, Altmeyer S, Zubair M.
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Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]
Mehtaj N, Banerjee S.
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SOR-Based numerical modeling of hybrid nanofluid flow over a rotating disk with magneto-nonlinear radiation and arrhenius activation energy considering shape factors. [PDF]
Ahmad A +5 more
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Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]
Masood K.
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Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]
Peng M, Tang H.
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A Lattice Boltzmann BGK Model with an Amending Function for Two-Dimensional Second-Order Nonlinear Partial Differential Equations. [PDF]
Bi X, Lei J, Li D, Lai L, Lai H, Liu Z.
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Automatic network structure discovery of physics informed neural networks via knowledge distillation. [PDF]
Liu Z +6 more
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A primer on variational inference for physics-informed deep generative modelling. [PDF]
Glyn-Davies A +4 more
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A fast quantum algorithm for solving partial differential equations. [PDF]
Farghadan A +2 more
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Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data. [PDF]
Srikitrungruang T +4 more
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