{ "142220-21890232": { "datetime_modified":"20251201T162504", "datetime_start":"20260129T140000", "datetime_end":"20260129T150000", "has_end_time":1, "date_start":"2026-01-29", "date_end":"2026-01-29", "time_start":"14:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"MICDE - Mechanical Engineering Seminar - Elif Ertekin, University of Illinois Urbana-Champaign", "occurrence_title":"", "combined_title":"MICDE - Mechanical Engineering Seminar - Elif Ertekin, University of Illinois Urbana-Champaign: Elif Ertekin: Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials", "event_subtitle":"Elif Ertekin: Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "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.\r\n\r\n\r\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.", "occurrence_notes":null, "guid":"142220-21890232@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/142220", "building_id":"1000397", "building_name":"Lurie Robert H. Engin. 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Get creative, enjoy free snacks, and chat with others.", "occurrence_notes":null, "guid":"142929-21891818@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/142929", "building_id":"1000066", "building_name":"West Quadrangle", "campus_maps_id":"164", "room":"Asubuhi Multicultural Lounge", "location_name":"West Quadrangle", "has_livestream":0, "cost":"", "tags":["Social","Art","Community","Community Engagement","Crafts"], "website":"https:\/\/www.instagram.com\/umichhousing\/", "sponsors":[ { "group_name":"Michigan Housing Community Connections and Engagement", "group_id":"4577", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/12\/event_142929_original-2.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/12\/event_142929_original-2.jpg" }, "occurrence_count":1, "first_occurrence":21891818 } , "143503-21893298": { "datetime_modified":"20260108T142409", "datetime_start":"20260129T143000", "datetime_end":"20260129T160000", "has_end_time":1, "date_start":"2026-01-29", "date_end":"2026-01-29", "time_start":"14:30:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Climate Change Advocacy and Engagement", "occurrence_title":"", "combined_title":"Climate Change Advocacy and Engagement: Professor Sol Hart, Communication and Media and the Program in the Environment at the University of Michigan", "event_subtitle":"Professor Sol Hart, Communication and Media and the Program in the Environment at the University of Michigan", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"In response to environmental challenges, advocacy organizations are seeking optimal ways to increase public engagement. In this talk, Prof. Hart will discuss how different message strategies may amplify or attenuate public engagement. Prof. Hart will first present findings from recent studies investigating how positive and negative sentiments in advocacy messages, delivered via email and Facebook, relate to public engagement. The studies reveal that for low-effort engagement, positive sentiment is associated with more engagement. However, for high-effort engagement, negative sentiment is associated with more engagement, whereas positive sentiment is associated with less. Prof. Hart will also share results from an experiment examining how news articles discussing climate change's unequal impacts, based on race versus class, affect beliefs and support for action. Overall, White participants and those with high levels of symbolic racism had lower levels of belief and support when exposed to the race-focused condition. The results suggest that highlighting class-based climate disparities may be less prone to causing backfire effects.", "occurrence_notes":null, "guid":"143503-21893298@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143503", "building_id":"1000172", "building_name":"Rackham Graduate School (Horace H.)", "campus_maps_id":"71", "room":"West Conference Room", "location_name":"Rackham Graduate School (Horace H.)", "has_livestream":0, "cost":"", "tags":["Climate Change","Climate","Advocacy"], "website":"", "sponsors":[ { "group_name":"Communication and Media", "group_id":"3532", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_143503_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_143503_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_143503_original-1.jpg", 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"time_zone":"America\/Detroit", "event_title":"Student Real Analysis Reading Group", "occurrence_title":"", "combined_title":"Student Real Analysis Reading Group", "event_subtitle":"", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"The Student Real Analysis Reading Group facilitated by Siwei Wang will meet every Thursday from 2:30\u20134:30 PM in East Hall 5822 from Thursday, January 15 - April 16, 2026.", "occurrence_notes":null, "guid":"143702-21893676@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143702", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"5822", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Undergraduate Students","Mathematics"], "website":"https:\/\/lsa.umich.edu\/math", "sponsors":[ { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", 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"event_type_id":"21", "description":"Learning What Matters: Neural Mechanisms of Flexible Navigation\r\nAbstract:\r\nGoal-directed navigation in a dynamic world requires quickly identifying important locations and adapting behavioral plans to new information. In this talk I will describe neural circuit mechanisms of rapid spatial learning and of adapting to new information to guide navigation. Identifying crucial locations in a new environment depends on neural computations that rapidly represent locations and connect location information to key outcomes like food, however the mechanisms to trigger these computations at behaviorally relevant locations is not well understood. We find that inhibitory interneurons in hippocampal CA3 play a causal role in identifying and exploiting new food locations. Inhibitory interneurons in CA3 drastically reduce firing on approach to and in goal locations. Sparse optogenetic stimulation to prevent goal-related decreases in interneuron firing impaired learning of goal locations and disrupted neural representations of goal locations. These results reveal that goal-selective decreases in inhibitory activity enable learning important locations. Navigation also requires rapidly updating choices in the face of new information. In hippocampus and prefrontal cortex, neural activity representing future goals is theorized to support navigation planning. Yet how prospective goal representations incorporate new, pivotal information is unknown. Using virtual reality, we precisely introduced new crucial information during navigation and recorded neural activity as mice flexibly adapted their planned destinations. We found that new information triggered increased prospective representations and reorganization to rapidly shift to the new choice. This prospective code updating depended on the degree of behavioral adaptation needed. These studies reveal new mechanisms by which animals rapidly learn crucial new locations and adapt to new information that requires updating navigation plans.\r\n\r\nBio:\r\nDr. Annabelle Singer is the McCamish Foundation Early Career Professor in the Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Her research seeks to understand how neural activity produces memories and regulates brain immune function, with the goal of developing new therapies for brain disease. Dr. Singer\u2019s work has shown that coordinated electrical activity across hippocampal neurons encodes memories and fails in models of Alzheimer\u2019s disease. She discovered that driving specific patterns of neural activity, such as gamma oscillations, reduces Alzheimer\u2019s pathology and alters brain immune function. Using non-invasive sensory stimulation, she is translating these discoveries from rodents to humans to pioneer radically new treatments for disease.\r\n\r\nDr. Singer is a Packard Fellow, Kavli Fellow, and recipient of the National Academy of Engineering\u2019s Gilbreth Lectureship, the Society for Neuroscience\u2019s Janett Rosenberg Trubatch Career Development Award, and the American Neurological Association\u2019s Derek Denny-Brown Young Neurological Scholar Award. Her discoveries have inspired more than 20 clinical trials of brain stimulation across multiple diseases and have been featured on PBS, Nature News, Quanta Magazine, The New York Times, Radiolab, and multiple documentaries. 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