Abstract: Recently, the transfer learning paradigm has seen a surge of interest due to its impressive capabilities in vision and language. Models are pretrained on ever-growing datasets with enormous parameter […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Reliable operation in everyday human environments – homes, offices, and businesses – remains […]
The increasing demand for structural metals has driven increasingly complex compositions, which bring critical challenges in processing of these materials. Additive manufacturing, also called 3D printing, is a disruptive technology […]
Exergy-based methods are powerful tools for developing, evaluating, understanding, and improving energy conversion systems. In addition to conventional methods, advanced exergy-based analyses consider (a) the interactions among components of the […]
Fall 2022 Hybrid-Seminar Series Special joint seminar on Tuesday October 18th at 12:00 Noon Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
ABSTRACT: Machine learning systems, in virtually every deployed system, encounter data from a qualitatively different distribution than what they were trained upon. Effectively dealing with this problem, known as domain […]
Curvature is the common driving force for grain boundary motion in all polycrystals. However, models and simulations derived from curvature-based motion cannot predict irregular, albeit commonly observed, grain growth behavior. […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT With a growing population to feed, a heightened awareness of the environmental […]
Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
