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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4 events found.
Events for November 30, 2022
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ASSET Seminar: Scallop: A Language for Neuro-Symbolic Programming, Mayur Naik (University of Pennsylvania)
ABSTRACT: Neurosymbolic learning is an emerging paradigm which, at its core, combines the otherwise complementary worlds of classical algorithms and deep learning; in doing so, it ushers in more accurate, […]
Fall 2022 GRASP SFI: Nitin Sanket, Worcester Polytechnic Institute, “AI-Powered Robotic Bees: A Journey Into The Mind And Body!”
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT The human fascination to mimic ultra-efficient living beings like insects and birds has […]
ESE 2022 Jack Keil Wolf Lecture – “Sustaining the Semiconductor Revolution: Challenges and Opportunities”
Advancements in semiconductor integrated circuit (IC) “chip” technology over the past 60+ years have enabled exponential growth in chip functionality with exponential reduction in cost per transistor, resulting in the […]