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By Ty Tkacik

Despite the prevalence of synthetic materials across different industries and scientific fields, most are developed to serve a limited set of functions. To address this inflexibility, researchers at Penn State, led by Hongtao Sun, assistant professor of industrial and manufacturing engineering (IME), have developed a fabrication method that can print multifunctional “smart synthetic skin” — configurable materials that can be used to encrypt or decrypt information, enable adaptive camouflage, power soft robotics and more.

By Sam Sholtis

Oil-in-water droplets respond to chemical cues by forming arm-like extensions that resemble filopodia, which are used by living cells to sense and explore their environment. A research team led by chemists at Penn State studies the droplets to glimpse how matter may have transitioned to life billions of years ago. The researchers dissected the mechanism through which these arms form and showed that they respond directionally, growing toward or away from specific chemicals.

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible — an assumption that can limit accuracy and trustworthiness.

Two Penn State professors were named to the 2025 class of fellows by the National Academy of Inventors (NAI): Swaroop Ghosh, professor of electrical engineering and computer science (EECS), and Dipanjan Pan, the Dorothy Foehr Huck & J. Lloyd Chair Professor in Nanomedicine. Only a relatively small group of academic inventors receive this honor, which is considered the highest professional distinction, each year. They will be officially inducted at the 15th Annual NAI Conference on June 4 in Los Angeles.