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Materials Data Sciences and Informatics

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This Course Includes

  • iconcoursera
  • icon4.5 (344 reviews )
  • icon9 hours
  • iconenglish
  • iconOnline - Self Paced
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  • iconGeorgia Institute of Technology

About Materials Data Sciences and Informatics

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.

What You Will Learn?

  • 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 Materials Innovation Cyberinfrastructure and Integrated Workflows.