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.
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- 5 stars62.71%
- 4 stars26.77%
- 3 stars7.11%
- 2 stars2.37%
- 1 star1.01%
MATERIALS DATA SCIENCES AND INFORMATICS의 최상위 리뷰
The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.
Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.
Great initiative of creating this course! If you're curious about the idea of combining materials science and data science, this course is for you. Enjoy!
It includes ausam information in structured manner to learn the subject easily.
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