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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 ...
As a Systems Engineer for the Research Reactors Division in the Neutron Sciences Directorate at ORNL, Mr. Peyatt is responsible for the safe, reliable, and efficient operation of the High Flux Isotope ...
Dr. Hemrick is a member of the Mechanical Properties and Mechanics Group in the Materials Sciences and Technology Division at Oak Ridge National Laboratory (ORNL). He received his Ph.D (2001) and ...
Anuj J. Kapadia earned his Ph.D. in Biomedical Engineering from Duke University in 2007. After a brief post-doctoral position, he served as faculty in Radiology, Physics, and Medical Physics, and as ...
Dr. Sujoy Ghosh received his PhD in Applied Physics from Southern Illinois University, Carbondale in 2016. During his PhD, he studied low-temperature electronic and opto-electronic transport of ...