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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5782487/ https://www.ncbi.nlm.nih.gov/pubmed/29379579 http://dx.doi.org/10.1080/14686996.2017.1371559 |