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 InformaticsGeorgia Institute of Technology
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- 5 stars62,74 %
- 4 stars26,79 %
- 3 stars7,18 %
- 2 stars2,28 %
- 1 star0,98 %
Top-Bewertungen von MATERIALS DATA SCIENCES AND INFORMATICS
Skills on the Data Sciences can be applied to other areas of studies
Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.
A perfect course if one wants to pursue a research career in material science with an engineering background.
Good theory lessons. There should have been more focus on utilising software (PyMKS) to implement concepts, throughout the course rather than just the end
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