ORNL's Information Technology Services Director Kristofer Torgerson was one of many researchers who explored the latest in ...

The technique captures both the tiny, repeated movement of domain walls as they react to changes in their environment — such ...

A total of six ORNL projects were awarded allocations from the National Artificial Intelligence Research Resource, or NAIRR, ...

ORNL’s “black box” grid modeling method protects proprietary information about the inner workings of equipment while ...

Microbiologist and entrepreneur Jesse Labbé excels at cultivating discovery and innovation. As the new director of the ...

Background: This work evaluated algorithmic bias on biomarkers using electronic pathology reports of female breast cancer across five subgroups: National Cancer Institute Surveillance, Epidemiology, ...

Hybrid quantum–classical systems are emerging as key platforms in quantum computing, sensing, and communication technologies, but the quantum–classical interface (QCI)—the boundary enabling these ...

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Dr. Stefanski is a research scientist in the Multiphysics Modeling and Flows group at ORNL. His work there focuses on the development and application of computational fluid dynamics tools for gas ...

Dr. Lucas Lindsay earned a BS degree in physics from the College of Charleston in 2004. He did his PhD work on theoretical thermal transport in carbon nanotubes and graphene at Boston College with ...

Francesca Bonaiti is Theory Fellow of the Facility for Rare Isotope Beams (FRIB), hosted by the Theoretical and Computational Physics Group in the Physics Division. Her research focuses on ...

Dr. Thomaz Carvalhaes is an R&D Associate in the Critical Infrastructure Resilience Group at Oak Ridge National Laboratory currently focusing on technical assistance to states and tribes for grid ...