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.
제공자:
Materials Data Sciences and Informatics
조지아공과대학교이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기귀하가 습득할 기술
- Informatics
- Materials
- Statistics
- Data Science
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기
제공자:
조지아공과대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
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
검토
- 5 stars62.50%
- 4 stars26.97%
- 3 stars7.23%
- 2 stars2.30%
- 1 star0.98%
MATERIALS DATA SCIENCES AND INFORMATICS의 최상위 리뷰
Skills on the Data Sciences can be applied to other areas of studies
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!
Best way to learn newly developed system using material data science.
Need more pratice problems for polymer and ceramic multiphase composites.
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