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.
oferecido por
Materials Data Sciences and Informatics
Instituto de Tecnologia da GeórgiaInstituto de Tecnologia da GeórgiaInformações sobre o curso
Habilidades que você terá
- Informatics
- Materials
- Statistics
- Data Science
oferecido por
Instituto de Tecnologia da GeórgiaInstituto de Tecnologia da Geórgia
The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology.
Programa - O que você aprenderá com este curso
Welcome
What you should know before you start the course
Accelerating Materials Development and Deployment
• Learn and appreciate historical paradigms of advanced materials development while emphasizing the critical need for new approaches that employ data sciences and informatics as the glue to connect computational simulation and experiments to speed up the processes of materials discovery and development.
Materials Knowledge and Materials Data Science
• Understand property, structure and process spaces
Materials Knowledge Improvement Cycles
• Learn material structure and its digital representation
Case Study in Homogenization: Plastic Properties of Two-Phase Composites
This module demonstrates a homogenization problem based on an example of two-phase composites
Avaliações
- 5 stars62,62%
- 4 stars26,93%
- 3 stars7,07%
- 2 stars2,35%
- 1 star1,01%
Principais avaliações do MATERIALS DATA SCIENCES AND INFORMATICS
Excellent course. I thoroughly enjoyed the instructor's style of teaching. Thanks for making the concepts of material informatics very clear to me.
Interesting content! Liked the explanation of principle component analysis.
Great initiative of creating this course! If you're curious about the idea of combining materials science and data science, this course is for you. Enjoy!
Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.
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