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Petascale supercomputing to accelerate the design of high-temperature alloys
Recent progress in high-performance computing and data informatics has opened up numerous opportunities to aid the design of advanced materials. Herein, we demonstrate a computational workflow that includes rapid population of high-fidelity materials datasets via petascale computing and subsequent a...
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| Опубликовано в: : | Sci Technol Adv Mater |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5782487/ https://ncbi.nlm.nih.gov/pubmed/29379579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/14686996.2017.1371559 |
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