As graduate students, it can be difficult to maintain a sense of balance throughout your academic career. There are often multiple demands on your time, from having a social life while performing well academically to maintaining your mental health and wellness. However, 2020 has brought unique challenges that include, managing a global pandemic, navigating issues […]
Speakers: Kerry Phillips, Associate at Lake|Flato Architects Heather Gayle Holdridge, Director of Design Performance at Lake|Flato Architects Terry Pattillo, AIA, Mid-Atlantic Regional Director, WoodWorks – Wood Products Council Moderator: Stephanie Carlisle, Senior Researcher, Carbon Leadership Forum
This event will be held virtually via zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. The electronic health record (EHR) is a powerful application of Systems Engineering to healthcare. It is a byproduct of a host of pressures including cost, consolidation of providers into networks, uniform drivers of quality, and the […]
This lecture will discuss recent results in computational physics, computer graphics, and learning/data science. The first section will present a method for accurately simulating two-way solid-fluid coupling even when solids may be smaller than the size of a computational grid cell. Next, a numerical method for simulating materials with large surface energy (such as liquid […]
Speakers: Jennifer Wilcox, Presidential Distinguished Professor of Chemical Engineering and Energy Policy, Penn Engineering, Weitzman School Noah McQueen, Third year Ph.D. candidate in Chemical Engineering, Penn Engineering Moderator: Mark Alan Hughes, Founding Faculty Director of the Kleinman Center for Energy Policy Description: As the atmospheric concentration of carbon dioxide (CO2) continues to rise, it is […]
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Using MATLAB, engineers and other domain experts have deployed thousands of applications […]
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 4G smart phone revolution. Recently, the substitutional doping of scandium (Sc) for aluminum (Al) to form aluminum scandium nitride (AlScN) has been studied to significantly […]
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 piece of information, in the context of information propagation) is transferred across network nodes without going through any modification. However, in real-life spreading processes, pathogens […]
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 not rely on convergence? What about a data plane without inter-domain forwarding tables on routers? How can we build secure systems if a router can […]
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. Meanwhile, laser is the key driver in the field of optics and photonics over other photonic components. Since its discovery, laser technology has demonstrated strong […]
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 knowledge of reaction mechanisms and structure-property relationships and aided by computation, and in the precise synthesis of these sites at the atomic and molecular level. […]
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 science. First, the training sets are usually small. Second, physical mechanisms of material properties can be applied to facilitate the constructions of descriptors and statistics […]