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Quality Score

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Overall Score : 84 / 100

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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.

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Instructor Details

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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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Reviews

4.2

22 reviews in total

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By Jon D D on 18-Aug-19

The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.

By Apostolos Z on 15-Jul-19

Great expérience !Herbaut Julien / Yale

By Marek N on 8-Jul-19

I think it's wonderful course, but I did not have enough real practical skills from it (in my opinion). Thank you very much to the instructors for this course!

By Maximo R on 22-May-19

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

By Jean-Gabriel P on 22-Apr-19

An excellent introduction to Material informatics. I highly recommend to any beginners to get started with learning informatics regarding materials.

By Paul S on 17-Mar-19

Awesome Course!

By Juan J S G on 10-Oct-18

Very nice course

By Supriya M on 23-Sep-18

Machine learning part and its application to material science was interesting but informative contents like material dev eco system and whole week 1 was more informative than logical

By Gregorio A A P on 17-Jul-18

its easy to do it

By Santiago J S on 4-May-18

Great introduction of the why and how of materials informatics!

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 Roeland v d B on 7-Dec-17

Very valuable course for materials modelling enthusiast. It provides me the firm grounding and preparation for my future research work in this material modeling. This course is a fine balance of technical knowledge, its implementation and the practical approaches one needs to adopt to effectively use this knowledge of materials modeling in real world. (Anupam Purwar)

Showing 12 of 22 reviews