August 20, 2026
While the movement of fluid through rigid systems is a well-characterized classical problem, predicting the behavior of fluid flow in compliant systems, in which structural deformation and the behavior of […]
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MEAM Ph.D. Thesis Defense: “Neural Operator Design From A Test-Time Learning Perspective”
August 21, 2026
Neural operator models offer a path toward modeling physical systems at low computational cost by learning mappings between function spaces. However, as mesh sizes and model parameter counts scale up, […]
Read MoreMSE Society: Ice Cream Social – Liquid Nitrogen
September 2, 2026
On Wednesday, September 2, the Penn Materials Science and Engineering MSE Society will host its annual Liquid Nitrogen Ice Cream Social from 5:00–6:00 p.m. in the Quain Courtyard. Join us […]
Read MoreMSE Seminar: “Working Safely in the Lab: Navigating Common Laboratory Hazards in MSE Research”
September 3, 2026
EHRS staff will discuss how to work safely in the lab while navigating the changing landscape of materials science and engineering research. The talk will also cover; – Safety and […]
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Events for April 23, 2025
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ESE Guest Seminar – “Efficient Computing for AI and Robotics: From Hardware Accelerators to Algorithm Design”
The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed; the increasingly complex algorithms for higher quality of results; […]
ASSET Seminar: “Fake News, Echo Chambers, and Algorithms: A Data Science Perspective”
Abstract: American democracy has been undermined by an “infodemic” of fake news, coupled with the widespread segregation of consumers into ideologically homogenous echo chambers by inscrutable algorithms deployed by rapacious […]
Spring 2025 GRASP SFI: Haimin Hu, Princeton University, “From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Human-Centered Robotics”
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT From autonomous vehicles navigating busy intersections to quadrupeds deployed in household environments, […]
CBE Seminar: “From Molecules to Supply Chains: Transforming Data to Decisions using Geometry, Optimization, and Machine Learning” (Victor Zavala, University of Wisconsin-Madison)
Abstract: We discuss how geometry, optimization, and machine learning are key technologies that are revolutionizing the way we think about data and the way we transform data into actionable models […]