Designing accurate emulators for scientific processes using calibration-driven deep models

Predictive models that accurately emulate complex scientific processes can achieve speed-ups over numerical simulators or experiments and at the same time provide surrogates for improving the subsequent analysis. Consequently, there is a recent surge in utilizing modern machine learning methods to b...

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Detalles Bibliográficos
Autores principales: Thiagarajan, Jayaraman J., Venkatesh, Bindya, Anirudh, Rushil, Bremer, Peer-Timo, Gaffney, Jim, Anderson, Gemma, Spears, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648787/
https://www.ncbi.nlm.nih.gov/pubmed/33159053
http://dx.doi.org/10.1038/s41467-020-19448-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648787/
https://www.ncbi.nlm.nih.gov/pubmed/33159053
http://dx.doi.org/10.1038/s41467-020-19448-8

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