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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Detalles Bibliográficos
Autores principales: Shin, Dongwon, Lee, Sangkeun, Shyam, Amit, Haynes, J. Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Focus on Future leaders in structural materials research
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

Internet

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

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