This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.
Materials Data Sciences and Informatics
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来自MATERIALS DATA SCIENCES AND INFORMATICS的热门评论
Machine learning part and its application to material science was interesting but informative contents like material dev eco system and whole week 1 was more informative than logical
the course is nice and useful, but is very tough. You require a good knowledge of statistics, computation, and material science to make it through it.
The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.
Best way to learn newly developed system using material data science.