From brain scans to alloys: Teaching AI to make sense of complex research data

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.

Q&A: Growing novel ultra-pure materials for tomorrow’s electronics

young man working in a lab

Pairing elements such as sulfur, selenium or tellurium with metals produces compounds whose atomic interactions give them unusual and useful electrical, optical and magnetic behavior. These materials, called chalcogenides, are the focus of Qihua “David” Zhang’s work as a postdoctoral researcher in the Two-Dimensional Crystal Consortium (2DCC) at Penn State in the laboratory of Stephanie Law, Wilson Family Fellow and associate professor of materials science and engineering. Zhang recently earned the 2025 American Vacuum Society’s Thin Film Division Distinguished Technologist Award for his contributions to growing these materials with extreme purity and precision.

Two Penn State professors named fellows of the National Academy of Inventors

Two men posing for a photo in sport coats but no tie

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.

AI approach takes optical system design from months to milliseconds

A team of researchers at Penn State have devised a new, streamlined approach to design metasurfaces, a class of engineered materials that can manipulate light and other forms of electromagnetic radiation with just their structures. This rapid optimization process could help manufacture advanced optical systems like camera lenses, virtual reality headsets, holographic imagers and more, the team said.