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Multifidelity computing for coupling full and reduced order models
Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal scales and comprise a multifidelity problem sharing an interface between var...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7877632/ https://ncbi.nlm.nih.gov/pubmed/33571229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0246092 |
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