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Materials Knowledge Systems in Python—a Data Science Framework for Accelerated Development of Hierarchical Materials

There is a critical need for customized analytics that take into account the stochastic nature of the internal structure of materials at multiple length scales in order to extract relevant and transferable knowledge. Data-driven process-structure-property (PSP) linkages provide a systemic, modular,...

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Detalhes bibliográficos
Publicado no:Integr Mater Manuf Innov
Main Authors: Brough, David B, Wheeler, Daniel, Kalidindi, Surya R.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5497515/
https://ncbi.nlm.nih.gov/pubmed/28690971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40192-017-0089-0
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