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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...
Autores principales: | Kumar, Prashant, Sinha, Kushal, Nere, Nandkishor K., Shin, Yujin, Ho, Raimundo, Mlinar, Laurie B., Sheikh, Ahmad Y. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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