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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Materials Data Sciences and Informatics
Технологический институт ДжорджииОб этом курсе
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- Informatics
- Materials
- Statistics
- Data Science
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Программа курса: что вы изучите
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
Рецензии
- 5 stars62,74 %
- 4 stars26,79 %
- 3 stars7,18 %
- 2 stars2,28 %
- 1 star0,98 %
Лучшие отзывы о курсе MATERIALS DATA SCIENCES AND INFORMATICS
Got an overview about how materials data is analysed. This course helps us in understanding the need of data sciences for accelerating material development.
Best way to learn newly developed system using material data science.
Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.
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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