Materials Data Sciences and Informatics

( 22 Reviews )

Created by: Dr. Surya Kalidindi

Quality Score

Content Quality

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Qualified Instructor

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Course Depth & Coverage

Overall Score : 84 / 100

Course Description

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.

Time: 10h

Instructor Details

Dr. Surya Kalidindi

4.2 Rating
22 Reviews

Dr. Kalidindi's research interests are broadly centered on designing material internal structure (including composition) for optimal performance in any selected application and identifying hybrid processing routes for its manufacture. To this end, he has employed a harmonious blend of experimental, theoretical, and numerical approaches in his research.

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4.2

22 total reviews

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By Zhen M on 27-Aug-17

Too much talk about general idea. Lack of practice to learn skills

By Alex Z on 30-Apr-18

A great introductory course into Material Data Sciences and Informatics. Had a relatively hard time when the course turned form introduction into hardcore statistics. Moreover, it can be more helpful if there are more practical projects and tutorial on introduced tools.

By Roman S on 21-Sep-16

Great, fantastic information that made me see the importance of data sciences in materials science and engineering. My only request would be to potentially spend more time fleshing out PCA and the statistical tools around it; most of it went over my head without seeing a step-by-step application of it that showed the calculations. Maybe it could be optional so that those who are already strong in PCA can skip it.

By Apostolos Z on 15-Jul-19

Great expÃƒÂ©rience !Herbaut Julien / Yale

By Maximo R on 22-May-19

Best way to learn newly developed system using material data science.

By Juan J S G on 10-Oct-18

Very nice course

By Gregorio A A P on 17-Jul-18

its easy to do it

By Chunyu Z on 9-Aug-16

Brilliant lectures on a very interesting topic!

By ELISA W on 18-Dec-16

very beneficial

By Hamzeh M T on 19-Jul-17

Thank you for the course. It is very helpful for my deeper understanding of Materials Informatics. I hope I can get more knowledge and assistance from Professors for my research in this field in future. Thank you!

By Paul S on 17-Mar-19

Awesome Course!

By Ian P on 15-Jul-17

Useful introduction to vocabulary and concepts in the field, but can't help but feel the pacing and scope of the course takes an abrupt switch at times.