This panel will examine the impact of climate change on global water resources and how these impacts have affected people in the global south. From droughts that have led to […]
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 2022 Singh Center for Nanotechnology Annual User Meeting will be held on Thursday, October 13, 2022, in the Singh Center’s Glandt Forum. The purpose for this in-person meeting is […]
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 […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT Animals have long served as an inspiration for robotics. However, the adaptability, complex […]
Abstract: Understanding of the universal low-temperature properties of glasses and why they differ from their crystalline counterparts requires the understanding of the vibrational properties of glasses. Due to recent advances […]
Join PESTLE for our Zoom Orientation session on Friday, October 14 at 4:00 pm! Please email us at pestle@seas.upenn.edu if you have any questions.
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
Deep Learning has recently made significant progress in learning challenges such as speech and image recognition, automatic translation, and text generation, much of that progress being fueled by the success of […]
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 […]