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Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations

Fuente: arXiv

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Dettagli Bibliografici
Autore principale:	Imanov, Olaf Yunus Laitinen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Numerical Analysis Computational Physics 68T07, 62F15, 65M06, 65N06, 35R30 I.2.6; G.3; G.1.8
Accesso online:	Acceder al recurso
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