Pixar's films rely heavily on physically simulated effects such as the motion of hairs, cloth, and water, to cite a few. Whereas physical accuracy is of paramount importance in engineering applications, the most important aspects of feature film productions are directability and speed. In this talk, I'll survey our recent work in this area, including […]
Many complex nonequilibrium systems, including turbulent flows, are characterized by chaotic dynamics, a large number of degrees of freedom, and hierarchical, multiscale structure in space and time. In two vignettes, we describe some recent work aimed at developing and applying machine learning and data science tools for systems displaying these characteristics. The first vignette builds […]
Abstract: Fluids and solids tend to be addressed using distinct computational perspectives. Solid deformation is most commonly simulated with Lagrangian finite-element methods, whereas fluid flow is amenable to Eulerian-frame approaches such as finite difference and finite volume methods. Problems that mix fluid and solid behaviors simultaneously present interesting numerical challenges. Here we focus on […]
Talk title TBC Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu
In this talk I will provide an overview of our recent work in data-driven methods---mainly machine learning---to enhance computational materials physics models. This body of work has proceeded along two main fronts. The first is system inference, where we seek to identify physical mechanisms via their mathematical signatures as differential or algebraic operators. Our approach […]
With the commercialization of wide-bandgap power semiconductors, multi-MHz switching frequencies are more compelling and critical to meet new applications demanding leaps in power density and efficiency. In the past, studies of these converters reported significant gaps between measured and modeled performance, often attributed to dynamic RDS,ON in GaN HEMTs. In particular, the power semiconductors – […]
A long-standing grand challenge in computing is to enable machines to act autonomously and intelligently: to rapidly and repeatedly take appropriate actions based on information in the world around them. Driven by trends in the data economy, rapid progress in AI, and an increasingly programmable physical world we are at an inflection point that demands […]
Abstract Until now, the natural world has supplied us with antibiotics. Bacteria, however, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Computer-driven approaches have the potential to outperform humans, as demonstrated for pattern recognition of images and text. In order for machines […]
The Department of Bioengineering at the University of Pennsylvania and Dr. David Meaney are pleased to announce the Doctoral Dissertation Defense of Samantha Schumm. The public is welcome to attend the Zoom meeting via the details below. Title: Computational Investigations of Neuronal Network Responses to Traumatic Brain Injury Date: Thursday, October 29th, 2020 Time: 9:00am EST Join Zoom […]
The Graduate Student Symposium will be held on October 30th, 11:00AM-5:00PM EDT. We are excited to share the research conducted in our department with each other and invited industrial representatives, with 14 oral talks and 36 poster presentations from soft matter, biological and biomedical engineering, energy, and catalysis. Information on the program and abstracts can […]
Two fundamental challenges that arise in the development of air-breathing supersonic combustion ramjet engines (scramjets) for hypersonic flight are: 1) the rapid mixing of fuel and oxidizer that must occur prior to combustion, and 2) the coupling between the engine structure and the flow dynamics. Interactions of shock waves and turbulence that characterize the flow […]
Talk title TBC Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu