Abstract The last decade has seen a remarkable shift in usage and value of semiconductor memory technologies. These changes are driven by the elevation of four particular target applications –(1) […]
How does the brain beget the mind? How do molecules, cells and synapses effect reasoning, intelligence, language? Despite dazzling progress in experimental neuroscience, as well as in cognitive science […]
Eutectic phase transitions play an important role in many engineering materials, from cast iron to electronic solder. Regular binary eutectics are relatively straightforward and generally well understood, but the additional […]
This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. Recent advances in microfluidics and high-throughput sequencing technology have enabled rapid […]
This talk will cover how Pixar's crowds pipeline evolved from "A Bug's Life" to "Onward", and how the studio's artists and engineers refined and re-invented their tools over the years […]
Abstract: Thermodynamics provides a robust conceptual framework and set of laws that govern the exchange of energy and matter. Although these laws were originally articulated for macroscopic objects, nanoscale systems also […]
"Manipulating Macrophage Signaling - How macrophages measure 'Eat me' and 'Don't eat me' signals" Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar […]
The question of "what set of basis functions should be used?" is of fundamental importance to scientific computing. The performance of different choices of basis is assessed primarily by the […]
The modern instantiation of a sensor network is a cyberphysical (CPS) system where CPS subsystems can be interconnected by a shared communication network of limited bandwidth. A common problem in […]
Abstract Fuels based on hydrocarbons, taken together with the processing of raw hydrocarbons into chemicals, account for about half of the United States’ CO2 emissions. Efforts to lessen the CO2 […]
Phase prediction in multicomponent alloys remains one of the most fundamental challenges. Navigating the vast compositional space of these alloys requires a predictive capability to efficiently guide alloy discovery and […]
Choosing suitable data representations is one of the most critical topics when installing machine learning on 3D data. This talk discusses several recent works on utilizing uncertainty as a lens […]