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September 27 @ 12:00 PM - 1:00 PM - Birck 2001
Design of structural materials using reduced order mesoscalemodels
Computational materials science brings a physics-based materials design capability within reach. However, Design of structural materials for strength and stability is challenging because it deals iwth inherently collective mechanisms operating at multiple time and length scales. I will illustrate a design strategy built on reduced order mesoscale models, which afford simplified descriptions of the essential phsyics of complex, collective materials phenomena. To illustrate this approach, I will describe the design of interfaces for resistance to degradation induced by implanted helium. I will conclude by discussing how Bayesian methods may be used to infer and validate reduced order mesoscale models from heterogeneous data.
Michael J. Demkowicz did his undergraduate studies at the University of Texas at Austin, receiving three Bachelor’s degrees in 2000: BS Physics, BS Aerospace Engineering, and BA Plan II Honors (a core-curriculum liberal arts program). He did his graduate work with A. S. Argon at MIT, receiving his MS and PhD in mechanical engineering in 2004 and 2005, respectively. Afterwards, he spent three years at Los Alamos National Laboratory, first as a postdoc, then as a Director’s Fellow, and finally as a technical staff member. In 2008, Demkowicz joined the faculty at MIT’s Department of Materials Science and Engineering, receiving the John C. Chipmancareer development char. In 2012, he received an NSF CAREER award and the TMS Early Career Faculty Fellow award. Demkowicz works at the intersection of fundamental materials physics and computational design of structural materials.
October 28 @ 9:00 AM - October 29 @ 1:00 PM Birck 1099
November 4 @ 9:00 AM - November 5 @ 1:00 PM Birck 1099
November 4 @ 11:00 AM - 12:00 PM MRGN 121
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