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Coarse-scale PDEs from fine-scale observations via machine learning
Complex spatiotemporal dynamics of physicochemical processes are often modeled at a microscopic level (through, e.g., atomistic, agent-based, or lattice models) based on first principles. Some of these processes can also be successfully modeled at the macroscopic level using, e.g., partial different...
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| 出版年: | Chaos |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
AIP Publishing LLC
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7043837/ https://ncbi.nlm.nih.gov/pubmed/32013472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.5126869 |
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