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Understanding atomic disorder and next-gen electronics
Imaging devices surround a material on a blue backlit surface.

A new class of 2D materials known as MXenes holds the key to next-generation applications, such as consumer electronics and medical devices. Now, collaborative research led by Zahra Fakhraai of the School of Arts & Sciences, Aleksandra Vojvodic of the School of Engineering and Applied Science, and their collaborators offers fundamental insights into the chemical and geometric mechanisms underlying the synthesis of these materials, a finding that could lead to cleaner, quicker energy conversion and storage for these devices. 

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Understanding atomic disorder and next-gen electronics

A Penn team has developed insight into the chemical and geometric mechanisms underlying the synthesis of new 2D materials, paving the way for next-gen devices, biomedical applications, and cleaner, quicker energy conversion and storage.

5 min. read

AI uncovers new antibiotics in ancient microbes
Cesar de la Fuente in his lab.

César de la Fuente (pictured) and his team used AI to study the proteins of hundreds of ancient microbes, searching for new antibiotic candidates.

(Image: Jianing Bai)

AI uncovers new antibiotics in ancient microbes

César de la Fuente uses AI to hunt for new antibiotic candidates in unlikely places, from the DNA of extinct organisms to the proteins of ancient microbes.

Ian Scheffler

2 min. read

Students use machine learning to track and protect whale populations
Chinmay Govind writing equations on a chalkboard.

Chinmay Govind, a rising second-year in the School of Engineering and Applied Science, writes equations on a chalkboard in his team's research space at David Rittenhouse Laboratory. For his portion of the PURM project, Govind used AI to track and map whale locations.

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Students use machine learning to track and protect whale populations

For their Penn Undergraduate Research Mentoring Program project, Chinmay Govind and Nihar Ballamudi leveraged AI to locate and census whales. The study may inform policy measures that help to improve protections for whale populations worldwide.

5 min. read

A nature-inspired leap in water harvesting technology

A nature-inspired leap in water harvesting technology

Penn Engineering’s Shu Yang and postdoctoral fellow Yunchan Lee are working to develop a new material and device that imitate raspberries and sunflowers. Together, these bio-inspired forms make clean, sustainable water harvesting possible by using just the moisture in the air and the heat of the sun.

AI vision, reinvented: The power of synthetic data

AI vision, reinvented: The power of synthetic data

Researchers at Penn Engineering and the Allen Institute for AI are using AI to create scientific figures, charts, and tables that teach other AI systems how to interpret complex visual information for open-source models.

Ian Scheffler

2 min. read

George Pappas receives IEEE Kirchmayer Award

George Pappas receives IEEE Kirchmayer Award

Pappas, UPS Foundation Professor of Transportation in Electrical and Systems Engineering at Penn Engineering, has been awarded the Leon K. Kirchmayer Graduate Teaching Award for “inspirational mentoring” of graduate students.

Designing cleaner, greener concrete
Masoud Akbarzadeh holding up one of the fabricated materials.

The Polyhedral Structures Laboratory is housed at the Pennovation Center and brings together designers, engineers, and computer scientists to reimagine the built world. Using graphic statics, a method where forces are mapped as lines, they design forms that balance compression and tension. These result in structures that use far fewer materials while remaining strong and efficient.

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Designing cleaner, greener concrete

Penn engineers, materials scientists, and designers have developed a 3D-printed concrete solution based on diatomaceous earth that has enhanced carbon capture, is stronger, and uses fewer materials like cement.

6 min. read

Wensi Wu uses digital twins to explore the hidden mechanics of the human heart
computational mapping of a human heart.

Image: Floriana via Getty Images

Wensi Wu uses digital twins to explore the hidden mechanics of the human heart

Wu, a research faculty member at Penn’s School of Engineering and Applied Science, develops “digital twins” of the human heart through computational modeling that capture both the visible and invisible aspects of cardiac function.

Melissa Pappas

2 min. read

Teaching robots to build without blueprints
A simulation of the mathematics of a bee colony.

Researchers at Penn Engineering have developed mathematical rules to simulate robots to behave like bees, building complex shapes without instructions, pointing to a new manufacturing frontier.

(Image: Courtesy of Jordan Raney and Mark Yim)

Teaching robots to build without blueprints

Researchers at Penn Engineering have developed mathematical rules to simulate robots who behave like bees, building complex shapes without instructions, pointing to a new manufacturing frontier inspired by nature.

Ian Scheffler

2 min. read