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.
von
Materials Data Sciences and Informatics
Georgia Institute of TechnologyÜber diesen Kurs
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- Informatics
- Materials
- Statistics
- Data Science
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Lehrplan - Was Sie in diesem Kurs lernen werden
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
Bewertungen
- 5 stars62,90 %
- 4 stars26,45 %
- 3 stars7,09 %
- 2 stars2,25 %
- 1 star1,29 %
Top-Bewertungen von MATERIALS DATA SCIENCES AND INFORMATICS
Good theory lessons. There should have been more focus on utilising software (PyMKS) to implement concepts, throughout the course rather than just the end
The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.
Need more pratice problems for polymer and ceramic multiphase composites.
Thank you, Teacher!! It is amazing course and I improve my knowledge and skills in this field!!
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