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A generative AI model that designs new antibiotics
Pranam Chatterjee in his lab at Penn Engineering.

The lab of Pranam Chatterjee (pictured), in collaboration with the lab of César de la Fuente, developed and validated a new “diffusion model” that can generate antibiotic candidates the same way AI creates images.

(Image: Sylvia Zhang)

A generative AI model that designs new antibiotics

A research team at Penn Engineering has developed and validated a new ‘diffusion model’ that can generate antibiotic candidates the same way AI creates images.

Ian Scheffler

2 min. read

Penn Engineers send quantum signals with standard internet protocol
Yichi Zhang wearing sunglasses in the Penn Engineering lab.

Yichi Zhang, a doctoral student in materials science and engineering, inspects the source of the quantum signal.

(Image: Sylvia Zhang)

Penn Engineers send quantum signals with standard internet protocol

Penn engineers have developed a “Q-Chip” (quantum-classical hybrid internet by photonics) signal which coordinates quantum and classical data and can run on the same infrastructure that carries everyday online traffic.

Ian Scheffler

2 min. read

A new way to guide light
Researchers stand and point at a white board littered with equations.

Bo Zhen (right) and postdoctoral researcher Li He developed a system for guiding light through tiny crystals in ways that allow it to navigate undeterred bu bumps and defects. Their work could lead to sturdier lasers, faster data links, and light-based chips that don’t get tripped up by imperfections.

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A new way to guide light

Penn researchers developed a system that allows light to be guided through a tiny crystal, undeterred by bumps, bends, and back-reflections. Their findings pave the way for robust, controllable light-based chips, smarter routing for data links, and more stable lasers.

3 min. read

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. 

nocred

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.