Aluminum Nitride (AlN) is a well-established thin film piezoelectric material. AlN bulk acoustic wave (BAW) radio frequency (RF) filters were one of the key innovations that enabled the 3G and […]
A common theme among many models for spreading processes in networks is the assumption that the propagating object (e.g., a pathogen, in the context of infectious disease propagation, or a […]
Imagining a new Internet architecture enables us to explore new networking concepts without the constraints imposed by the current infrastructure. What are the benefits of a routing protocol that does […]
Orbital angular momentum (OAM) carried by structured vortex light establishes a new information dimension, thereby promising high capacity optical communication and high performance computation in both classical and quantum regimes. […]
Abstract Catalytic processes are central to the goal of a sustainable future. A promising approach in developing catalytic materials is represented by the design of catalytic sites based on the […]
To apply statistics and data science tools to aid computational designs of materials is under fast development. There are two unique aspects of the applications of these tools in materials […]
This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. Systems biology approaches, including computational models, provide a framework to test […]
Using the digital computer to simulate dynamic behavior of elastic and soft objects is a highly desired feature in many scientific and engineering areas: in computer animation, it provides realistic […]
Data-driven approaches match or outperform humans at a number of tasks, including pattern recognition in images and text or planning and strategy in rule-based games. The application of machine learning […]
“The DNA Damageome and Cancer” Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu
Wearable haptic devices have seen growing interest in recent years, but providing realistic tactile feedback is not a challenge that is soon to be solved. Daily interactions with physical objects […]
Model reduction methods have grown from the computational science community, with a focus on reducing high-dimensional models that arise from physics-based modeling, whereas machine learning has grown from the computer […]