School of Engineering & Applied Science

Penn and Drexel Team Demonstrates New Paradigm for Solar Cell Construction

For solar panels, wringing every drop of energy from as many photons as possible is imperative.  This goal has sent chemistry, materials science and electronic engineering researchers on a quest to boost the energy-absorption efficiency of photovoltaic devices, but existing techniques are now running up against limits set by the laws of physics.  

Evan Lerner

Researchers at Penn Add Another Tool in Their Directed Assembly Toolkit

An interdisciplinary team of University of Pennsylvania researchers has already developed a technique for controlling liquid crystals by means of physical templates and elastic energy, rather than the electromagnetic fields that manipulate them in televisions and computer monitors. They envision using this technique to direct the assembly of other materials, such as nanoparticles.  

Evan Lerner

Penn, CHOP Researchers Help Author Report on Sports-Related Concussions in Youth

The Institute of Medicine and the National Research Council today released a comprehensive report on sports-related concussions in youth, detailing factors associated with increased rates of the brain injury, the effectiveness of protective devices and new screening, diagnosis, treatment and management techniques, as well as the long-term consequences of concussions.

Evan Lerner, Dana Weidig

Nano/Bio Interface Center at Penn to Host Annual NanoDay

On Wednesday, Oct. 23, the University of Pennsylvania’s Nano/Bio Interface Center will host its annual NanoDay@Penn. This public education and outreach event will feature a series of talks, demonstrations and exhibits dealing with nanotechnology, a rapidly expanding scientific discipline that involves the manipulation of matter on the atomic and molecular scale.

Evan Lerner

New Network and Data Sciences Center to Open at Penn

The University of Pennsylvania is launching a new, interdisciplinary research effort to study and solve problems using the tools of the digital age: The Warren Center for Network & Data Sciences.  

Evan Lerner

Penn Engineering Intro Class Gets a Power Boost

As computers become more enmeshed in everyday life, both their software and hardware are becoming accessible to the average person. Whereas do-it-yourself enthusiasts of earlier generations tackled birdhouses and AM radios, this generation is making its own robots, 3-D printers and cell phone accessories.

Evan Lerner

Penn Student Has Sights on Hollywood

When Disney Animation Studios releases its next feature film in November, the life-like quality of the images in the movie will have been produced, in part, through the work of a student at the University of Pennsylvania.

Jeanne Leong



In the News


Philadelphia Inquirer

New Penn AI master’s program aims to prep students for ‘jobs that we can’t yet imagine’

Chris Callison-Burch of the School of Engineering and Applied Science discusses Penn’s new online master’s program in artificial intelligence.

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Technical.ly Philly

Penn Engineering rolls out an online master’s degree in AI, first in Ivy League

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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NBC Philadelphia

Penn Engineering announces first Ivy League Master’s degree in AI

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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Newsweek

Man does DNA test, not prepared for what comes back ‘unusually high’

César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine says that Neanderthal DNA provides insights into human evolution, population dynamics, and genetic adaptations, including correlations with traits such as immunity and susceptibility to diseases.

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Technical.ly Philly

Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’

Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.

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