3D multi-physics uncertainty quantification using physics-based machine learning

Quantitative predictions of the physical state of the Earth’s subsurface are routinely based on numerical solutions of complex coupled partial differential equations together with estimates of the uncertainties in the material parameters. The resulting high-dimensional problems are computationally p...

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Detalles Bibliográficos
Autores principales: Degen, Denise, Cacace, Mauro, Wellmann, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582207/
https://www.ncbi.nlm.nih.gov/pubmed/36261601
http://dx.doi.org/10.1038/s41598-022-21739-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582207/
https://www.ncbi.nlm.nih.gov/pubmed/36261601
http://dx.doi.org/10.1038/s41598-022-21739-7

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