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Meeting Materials Science & Technology 2020
Symposium Artificial Intelligence for Materials Design
Organizer(s) Adama Tandia, Corning
Scope Today's materials such as polymers, glass or alloys for use under tough conditions, had become more and more tedious and difficult because of the many required materials properties. Lack of robust and accurate physics based models for many of the properties of interest makes if more and more difficult for design of such materials. Existence of data of good quality, much improved algorithms for regression have made it possible to build artificial intelligence based models for fast and robust design of materials. Many groups from academic and industrial settings have been working in different materials design methods. A symposium regrouping experts with different materials design perspectives could benefit the general materials science community.
Abstracts Due 03/15/2020
Proceedings Plan Planned: Publication outside of MS&T
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