Mapping microstructure to shock-induced temperature fields using deep learning
Abstract The response of materials to shock loading is important to planetary science, aerospace engineering, and energetic materials. Thermally activated processes, including chemical reactions and phase transitions, are significantly accelerated by energy localization into hotspots. These result f...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2023-09-01
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| Serie: | npj Computational Materials |
| Accesso online: | https://doi.org/10.1038/s41524-023-01134-0 |
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