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.
Offert par
Materials Data Sciences and Informatics
Georgia Institute of TechnologyÀ propos de ce cours
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- Informatics
- Materials
- Statistics
- Data Science
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Programme de cours : ce que vous apprendrez dans ce cours
Welcome
Accelerating Materials Development and Deployment
Materials Knowledge and Materials Data Science
Materials Knowledge Improvement Cycles
Case Study in Homogenization: Plastic Properties of Two-Phase Composites
Avis
- 5 stars62,74 %
- 4 stars26,79 %
- 3 stars7,18 %
- 2 stars2,28 %
- 1 star0,98 %
Meilleurs avis pour MATERIALS DATA SCIENCES AND INFORMATICS
Excellent experience. It engages my knowledge broadly about Data Science in Materials. Thank you
Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.
Interesting content! Liked the explanation of principle component analysis.
You will learn four paradigms of science: empirical, theoretical, computational, and data-driven.
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