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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Optimal error estimates of the diffuse domain method for second order parabolic equations. [PDF]
BIT Numer MathHao W, Ju L, Xu Y.
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Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
Entropy (Basel)Mortezanejad SAF +2 more
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S-shaped Utility Maximization with VaR Constraint and Partial Information. [PDF]
J Optim Theory ApplZhu D, Davey A, Zheng H.
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Smoothness and stability in the Alt-Phillips problem. [PDF]
Math AnnCarducci M, Tortone G.
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Vector Acceleration Methods for Faster Convergence of Cyclic Steady State in Adsorption Process Simulations. [PDF]
Ind Eng Chem ResSubraveti SG, Karimi K, Gazzani M.
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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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An Attention-based Spatio-Temporal Neural Operator for Evolving Physics. [PDF]
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Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]
Sensors (Basel)Mehtaj N, Banerjee S.
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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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