Periodic media and resonant, acoustic/elastic metamaterials possess extraordinary frequency band gaps where no waves may propagate. In this dissertation, we leverage numerical simulations to gain insight into practical ways to […]
Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Soft robotics, energy harvesting, large-deformation sensing and actuation, are just some of the applications that can be enabled by soft dielectrics that demonstrate substantive electromechanical coupling. Imagine now also a […]
Heterogeneous materials are commonly found in nature (e.g. soil, rock, blood) and engineering applications (e.g. paints, lubricants, sintered materials). Understanding the microstructure-properties relations is crucial to predicting how these materials […]
Quantum processors of today are already capable of surpassing classical supercomputers on certain specialized tasks . A current milestone for the quantum information science community is the fulfilment of quantum […]
Yansong Gao Title: "A Free-Energy Principle for Representation Learning" Keshav Patil Title: "Altered protein dynamics delineates the oncogenic potential of various kinase mutations" On Wednesday, October 6 at 12:00, PICS […]
Abstract Electrolytes are critical enabling components for Li-ion batteries to safely operate within a wide temperature range, under extreme fast charging, and under intense abuse conditions without sacrificing energy density […]
Today in the U.S., we deal with the severe, wide ranging effects of climate change from the West to East Coast in the form of heat waves, drought, wildfires, and […]
The past two decades have witnessed incredible advances towards the design of autonomous systems. This talk will discuss the role of motion planning in yielding solutions for an agent that […]
Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Most materials suffer from a disease: fatigue. Symptoms include degradation of properties and growth of cracks under cyclic stretch. These materials are unfit for applications involving prolonged and cyclic loads. […]
Scale appears to be the winning recipe in today's leaderboards. And yet, extreme-scale neural models are still brittle to make errors that are often nonsensical and even counterintuitive. In this talk, I will argue for […]