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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20251201T162504
DTSTART;TZID=America/Detroit:20260129T140000
DTEND;TZID=America/Detroit:20260129T150000
SUMMARY:Workshop / Seminar:MICDE - Mechanical Engineering Seminar - Elif Ertekin\, University of Illinois Urbana-Champaign
DESCRIPTION:Abstract: Predictive materials simulation has long been rooted in first-principles descriptions of physical mechanisms\, grounded in quantum mechanics but limited by tractable length scales\, sampling challenges\, and the accuracy-cost tradeoff. Today\, machine-learning methods seek to transform materials science by revealing patterns in data extending beyond conventional modeling. My talk will explore how these two paradigms\, mechanistic simulation and data-driven learning\, can act synergistically to accelerate materials discovery and understanding. I will begin by outlining what first-principles simulations can currently achieve and where their limitations arise\, using examples from our work in thermoelectrics\, wide-band-gap semiconductors\, ion-transport materials\, and structural alloys. Building on this foundation\, I will show how machine-learning approaches\, when designed with materials-specific considerations such as symmetries and invariances\, can enhance traditional methods. Examples include symmetry-aware generative models for inorganic crystalline solids and machine-learning solutions to the many-body electronic-structure problem that rival high-accuracy quantum methods. Together\, these examples highlight how integrating mechanisms and patterns can help advance predictive materials simulations.\n\n\nBio: Elif Ertekin is an Andersen Faculty Scholar\, Associate Professor\, and Associate Head for Graduate Programs in the Mechanical Science and Engineering Department at the University of Illinois at Urbana-Champaign. She is a faculty affiliate of the National Center for Supercomputing Applications (NCSA) and the Materials Research Laboratory (MRL). Her research interests center on the theory and modeling of materials\, with an emphasis on probabilistic and stochastic methods. She focuses on developing a microscopic understanding of atomic and electronic-scale processes in materials\, with applications in thermal transport\, energy conversion\, and defect chemistry. She received BS degrees in Mathematics and in Engineering Science and Mechanics from Penn State\, a PhD in Materials Science and Engineering from UC Berkeley\, and she carried out post-doctoral work at the Berkeley Nanoscience and Nanoengineering Institute and the Massachusetts Institute of Technology. She is an Associate Editor for the Journal of Applied Physics and a Divisional Associate Editor for Physical Review Letters.
UID:142220-21890232@events.umich.edu
URL:https://events.umich.edu/event/142220
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,seminar,Science,Research,Michigan Engineering,Micde Seminar,Mechanical Engineering,Engineering
LOCATION:Lurie Robert H. Engin. Ctr - 3213ABC
CONTACT:
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DTSTAMP:20260112T141237
DTSTART;TZID=America/Detroit:20260129T140000
DTEND;TZID=America/Detroit:20260129T160000
SUMMARY:Social / Informal Gathering:Vision Board Night at West Quad
DESCRIPTION:Prepare for the year ahead with the South and West Quad Diversity Peer Educators by designing your own vision boards! Get creative\, enjoy free snacks\, and chat with others.
UID:142929-21891818@events.umich.edu
URL:https://events.umich.edu/event/142929
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,Community,Community Engagement,Crafts,Social
LOCATION:West Quadrangle - Asubuhi Multicultural Lounge
CONTACT:
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