This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Safe and efficient motion planning is crucial for robots operating in dynamic […]
Connecting theoretical models for exotic quantum states to real materials is a key goal in quantum materials science. The structure of the crystalline lattice plays a foundational role in this […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Atomic systems (molecules, crystals, proteins, etc.) are naturally represented by a […]
Digital twins are virtual models of physical systems that allow for more computationally cost-effective evaluation and optimization. Building digital twins often involves machine learning techniques that integrate data with underlying […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Peter Noel are pleased to announce the Doctoral Dissertation Defense of Leening Liu. Title: Spectral CT thermometry for real-time, non-invasive temperature […]
Funicular structural forms maximize the structural performance and minimize the use of materials by carrying the applied loads in the form of pure tensile/compressive axial forces. The internal structure of […]
I would probably "forget" what I will say in the abstract, and you would, too. Translation: deep neural networks can "forget", meaning they might perform poorly on previously learned tasks […]
Abstract: Modern machine learning methods are revolutionizing what we can do with data, from tiktok video recommendations to biomarkers discovery in cancer research. Yet, the complexity of these deep models […]
Abstract: The growing need to secure critical minerals for clean energy technologies, alongside the urgency to mitigate climate change, presents a unique opportunity to combine mineral recovery with carbon sequestration. […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Recent work has demonstrated that a promising strategy for teaching robots a […]
Abstract: AI--guided closed-loop experimentation has recently emerged as a promising method to optimize functional properties in materials discovery. However, achieving the full potential of this approach in the chemical sciences […]
There are many situations in which small particles impact metals at high speeds, even above the speed of sound. Sometimes these are unintentional (as for foreign object damage or micrometeorite […]