A machine learning framework for computationally expensive transient models

Transient simulations of dynamic systems, using physics-based scientific computing tools, are practically limited by availability of computational resources and power. While the promise of machine learning has been explored in a variety of scientific disciplines, its application in creation of a fra...

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Detalles Bibliográficos
Autores principales: Kumar, Prashant, Sinha, Kushal, Nere, Nandkishor K., Shin, Yujin, Ho, Raimundo, Mlinar, Laurie B., Sheikh, Ahmad Y.
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/PMC7359323/
https://www.ncbi.nlm.nih.gov/pubmed/32661228
http://dx.doi.org/10.1038/s41598-020-67546-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359323/
https://www.ncbi.nlm.nih.gov/pubmed/32661228
http://dx.doi.org/10.1038/s41598-020-67546-w

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