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Physics

Does heat travel differently in tight spaces?
Green-tinted image showing thermal plumes in a Hele-Shaw cell, illustrating heat transfer in confined spaces.

Hugo Ulloa and Daisuke Noto of the School of Arts & Sciences have unearthed findings that address long-standing mysteries in the mechanics of fluids in confined, tight spaces: how their boundaries affect heat as it emanates from one place and dissipates throughout the space. The image above is a lab-scale hydrothermal system modeled utilizing a Hele-Shaw cell of 10 cm tall, 20 cm long and 4 mm gap. The interior of the Hele-Shaw cell is filled with degassed, deionized water heated from the bottom and cooled from above. A green laser sheet crosses the middle plane of the cell to visualize the motions of micro-scale particles seeded on the water, allowing researchers to estimate the fluid velocity and temperature.

 

 

(Image: Courtesy of Daisuke Noto)

Does heat travel differently in tight spaces?

New research led by Penn scientists offers insights into fundamental problems in fluid mechanics, findings that pave the way for more efficient heat transfer in myriad systems.
Four academic journeys explored
Vijay Balasubramanian writes equations on a whiteboard with a graduate student

Younger scientists often ask him about exploring multiple fields, Balasubramanian says. The advice he offers is to “have a central line where you have credibility, where you’ve established that you’re really, really good at what you do, and you can be trusted.”

(Image: Eric Sucar)

Four academic journeys explored

Vijay Balasubramanian and Tukufu Zuberi in the School of Arts & Sciences, Amy Hillier in the School of Social Policy & Practice, and Brittany Watson in the School of Veterinary Medicine share their academic paths toward interdisciplinary work.

Kristina García

A first, physical system to learn nonlinear tasks without a traditional computer processor
Contrastive local learning network.

University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.

(Image: Erica Moser)

A first, physical system to learn nonlinear tasks without a traditional computer processor

Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable.
Artificial chromosomes for disease modeling
The Scientist

Artificial chromosomes for disease modeling

A study by Ben Black of the Perelman School of Medicine and colleagues used a new technique for synthesizing chromosomes to introduce panels of genes into disease models, facilitating drug testing.

Five from Penn elected to the American Academy of Arts and Sciences in 2024
Headshots of five Penn professors.

The American Academy of Arts & Sciences elected five Penn faculty this year (left to right): Dolores Albarracín, Charles Kane, Edward D. Mansfield, Virgil Percec, and Deborah A. Thomas.

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Five from Penn elected to the American Academy of Arts and Sciences in 2024

Dolores Albarracín, Charles L. Kane, Edward D. Mansfield, Virgil Percec, and Deborah A. Thomas are recognized for their contributions to mathematical and physical sciences and social and behavioral sciences.
Total solar eclipse
the solar eclipse surrounded by its corona

Sliski's composite image of the solar eclipse, with plumes located above and below the poles of the stars, red prominences located near the edge of the sun (at 11 and 8 o'clock), and with one extensions each to the east and west of the solar disc. This data will be compared to predictive models to better refine the current understanding of the sun (Image credit: David Sliski). 

Total solar eclipse

Gary Bernstein and Bhuvnesh Jain speak with Penn Today about the significance of the coming total eclipse.
Mechanics of knitting
Textures knitted through in a pattern.

Randall Kamien of the School of Arts & Sciences and long-time collaborator Geneviève Dion, a professor of design at Drexel University, are investigating the mechanics of knitting, an area of research that represents a significant shift in understanding and using fabrics.

(Image: Courtesy of Geneviève Dion)

Mechanics of knitting

Randall Kamien of the School of Arts & Sciences and Geneviève Dion of Drexel University share how combining traditional origami techniques with modern textile science can lead to practical applications in various industries.
Penn alum named 2024 Churchill Scholar 
Xander Uyttendaele standing in front of a windowed door with sunlight streaming through

A May graduate of the School of Engineering and Applied Science, Xander Uyttendaele is among 16 students or recent graduates selected nationwide as 2024 Churchill Scholars.

(Image: Courtesy of the Center for Undergraduate Research and Fellowships)

Penn alum named 2024 Churchill Scholar 

Xander Uyttendaele, a 2023 graduate, is among 16 selected nationwide to receive the scholarship.
A twist on atomic sheets to create new materials
Crystal rainbow lights effect, lens colorful diamond light. Vector bright ray or beam glowing light. 3d gem shining iridescent glare. Flare reflection from prism

A collaborative team of researchers led by Bo Zhen of the School of Arts & Sciences have created new materials by artificially twisting and stacking two-dimensional atomic “sheets.” New materials control light-matter interaction differently from constituent 2D atomic sheets, paving the way for next-generation laser, imaging, and quantum technologies.

(Image: istock / Sensvector)

A twist on atomic sheets to create new materials

A collaborative team of physicists in the School of Arts & Sciences have found that putting a twist on tungsten disulfide stacks illuminates new approaches to manipulate light.