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 […]
Learn MoreAugust 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 […]
Learn MoreAugust 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 MoreAugust 26, 2026
As AI systems increasingly mediate access to information, we need better ways to understand how they behave in practice. In this talk, I use election-related information as my main case […]
Read MoreSeptember 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 MoreABSTRACT: 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, […]
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 […]
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 […]