Predictive scale-bridging simulations through active learning

Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-bridging over brute-force increases in the number of mesh elements. For instance, quantitative predictions of transport i...

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Detalles Bibliográficos
Autores principales: Karra, Satish, Mehana, Mohamed, Lubbers, Nicholas, Chen, Yu, Diaw, Abdourahmane, Santos, Javier E., Pachalieva, Aleksandra, Pavel, Robert S., Haack, Jeffrey R., McKerns, Michael, Junghans, Christoph, Kang, Qinjun, Livescu, Daniel, Germann, Timothy C., Viswanathan, Hari S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533863/
https://www.ncbi.nlm.nih.gov/pubmed/37758757
http://dx.doi.org/10.1038/s41598-023-42823-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533863/
https://www.ncbi.nlm.nih.gov/pubmed/37758757
http://dx.doi.org/10.1038/s41598-023-42823-6

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