Feature Articles

Idaho National Laboratory intern Jake Guidry has developed a cybersecurity research tool that could improve the security of electric vehicle charging.

Argonne and Chicago State University deployed instruments at the Chicago State University Campus to measure Chicago’s changing climate. These sensors are among the first for the Argonne-led Urban Integrated Field Laboratory called Community Research on Climate and Urban Science (CROCUS).

Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to products with inherently antibacterial surfaces that are more effective than current chemical treatments.

A large number of scientists are working on improving the Standard Model prediction of the value of muon g-2 using new data and new lattice calculations. By measuring and calculating this number to ultra-high precision, scientists can test whether the Standard Model is complete.

University of Washington professor Xiaodong Xu studies the properties of single atomic layer semiconductors, looking for new materials and new ways to control electrical conductivity.

The third iteration of the GeoAI leadership gathering focused on combining and scaling the many methods required to visualize and understand the Earth’s surface and how humans interact with it.

Nazia Zakir talks about her role as Environment, Safety and Health (ESH) senior director at Argonne National Laboratory.

Accurately predicting subseasonal weather conditions can help communities better prepare for emergency response in the event of strong storms or unprecedented flooding. This subseasonal to seasonal prediction capability is of particular interest to agencies such as the Air Force Weather, or AFW, program, which relies on accurate predictions to conduct missions safely and effectively around the world. In 2021, the AFW and ORNL launched two HPE Cray EX supercomputers, named Fawbush and Miller, to provide a platform for advanced weather modeling and prediction.

By adding rain, snow, and rain-on-snow precipitation data to a background model, a new scheme pinpoints local flood risks in order to improve the design of small-scale hydrological infrastructure.