Author: Talia Ogliore

Physicist Sheng Ran in Arts & Sciences has won a prestigious National Science Foundation award for a project investigating new quantum materials. The research has potential applications for next-generation electronics.

With a $2 million National Institutes of Health (NIH) grant, Matthew Lew at the McKelvey School of Engineering will develop smart microscopes to reveal dynamic interactions between individual biomolecules.

Young-Shin Jun, at the McKelvey School of Engineering, co-authored a review paper in Chemical Reviews that celebrates scientific advances in the field of interfacial reactions, which happen at the boundary where materials in different phases meet.

With a new grant from the National Science Foundation, Christopher Gill at the McKelvey School of Engineering plans to advance cyberphysical systems’ performance for applications in earthquake safety.

Gary Patti, in Arts & Sciences and the School of Medicine, has won the 2023 American Chemical Society Midwest Award. This annual award recognizes outstanding achievements in chemistry in the Midwest region.

Researchers led by Gary J. Patti in Arts & Sciences established a method to watch what nutrients are used at which rates spatially throughout a tumor. The new approach offers clues for potential treatment strategies.

Students from the Department of Energy, Environmental & Chemical Engineering at the McKelvey School of Engineering competed in the WERC Environmental Design Contest as a part of their environmental engineering capstone course, winning second place in the bench-scale competition.

A new study co-authored by Emily Willroth, assistant professor of psychological and brain sciences in Arts & Sciences, sheds light on how our environment — urban or rural — can affect our personality.

Washington University is leading a new effort to address the grand challenge of developing the next generation of high-performance, sustainably sourced and biodegradable plastics that advance engineering while also protecting the environment.

Researchers at the McKelvey School of Engineering are developing better ways to predict preterm birth by analyzing electrical activity during pregnancy. Arye Nehorai’s lab uses electrical activity and deep learning to make predictions.