MSE Seminar: “Additive Manufacturing of Compositionally Complex Alloys with Engineered Microstructures”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 for creating structural materials and components in a single print. In this talk, I will present our recent work on additive manufacturing of compositionally complex […]

MEAM Seminar: “Exergy-based Methods as a Promising Modern Thermodynamic Evaluation and Optimization Tool”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

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 overall system, and (b) the real potential for improving each important system component. The main role of an advanced analysis is to provide energy conversion […]

ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning, Zico Kolter, Ph.D. (Carnegie Mellon University)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

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 shift, is thus perhaps the key challenge in deploying machine learning methods in practice.  In this talk, I will motivate some of these challenges in […]

MSE Seminar: “What Governs Grain Boundary Migration?”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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. To build better predictive models, we need to employ new tools to understand what governs grain growth. First, I will demonstrate how high energy x-ray […]

Fall 2022 GRASP on Robotics: Jim Ostrowski, Blue River Technology, “Robotics and Deep Learning in Production Agriculture”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 impact of agriculture, and continued challenges of labor availability, the need is greater than ever for advanced technologies applied to automation and autonomy in agriculture.  […]

PSOC Seminar: Jamal S. Lewis, University of Florida

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

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

MEAM Seminar: “Predicting and Reducing High-Speed Jet Noise”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

The intense noise radiated by supersonic jets leads to sound-induced structural vibration, fatigue and personnel-related operational difficulties. Experimental, theoretical, and computational investigations into the physics and control of jet noise have identified several important sound sources, including wavepackets, screech, Mach wave radiation, and broadband shock associated noise. Reducing the loudest sources of jet noise, without […]

ASSET Seminar: How to Design Molecules that Dock Well but Can’t Exist, Jacob Gardner, Ph.D.

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT:BIO Machine learning has become an indispensable aid to researchers developing the next generation of novel therapeutics. In this talk, I will discuss how some of the most important problems  in virtual screening for new potential drug molecules can be cast as black-box optimization problems, where the goal is to find molecules maximizing some desired property […]