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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Speaker: Prof. Surya Kalidini, Georgia Tech, George W. Woodruff School of Mechanical Engineering
Title:
Leveraging Data Science To Enable Multiscale Materials Modeling And Design
Abstract:
Materials with enhanced performance characteristics have served ascritical enablers for the successful development of advanced technologies throughout human history, and have contributed immensely to the prosperity and well-being of various nations. It is important to recognize that the overall multi-functional performance characteristics of a material are controlled by various details of its hierarchical three-dimensional (3-D) internal structure (spanning a very broad range of length scales). It should therefore be clear that the theoretical space of all possible material internal structures (often simply referred to as the microstructure) is unimaginably large. As one might expect, the traditional approach of materials development has thus far explored only a limited number of readily accessible material microstructures (because of its reliance on experimental approaches), with attention focused on a small number of properties.
The need for the creation of a new materials innovation infrastructure to facilitate the design, manufacture, and deployment of new high performance materials at a dramatically accelerated pace in emerging advanced technologies has been articulated in several recent high-profile national strategic initiatives and reports. Although these reports have emphasized the key role of materials databases in capturing, curating, and archiving the critical materials data, they do not elaborate on how these databases should be structured or what specifically they should include. This talk outlines a specific strategy (i.e. workflow) for data science enabled development of the materials genome and illustrates key components of the proposed overall strategy with examples.
Bio:
Surya R. Kalidindi earned a B.Tech. in Civil Engineering from the Indian Institute of Technology, Madras, an M.S. in Civil Engineering from Case Western Reserve University, and a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology. After his graduation from MIT in 1992, Surya joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor, where he served as the Department Head during 2000-2008. Under his leadership, the department experienced tremendous growth and was ranked 10th nationally among Materials Science and Engineering programs by Academic Analysts in 2006. During 2009-2011, Surya served as the Department Head of Mechanical Engineering at Drexel University. Surya recently accepted a new position as a Professor of Mechanical Engineering in the George W. Woodruff School at Georgia Institute of Technology.
Surya’s research efforts over the past two decades have made seminal contributions to the fields of crystal plasticity and microstructure design. His work has already produced about 200 journal articles, four book chapters, and a new book on Microstructure Sensitive Design. His work is well cited by peer researchers as reflected by an h-index of 41.
