My research lies at the intersection of quantum physics and computational science. Specifically, I am interested in quantum computation realized in quantum many-body systems at low temperature, and ...

The Heartbeat Detector, a product that utilizes an algorithm developed by researchers at the Department of Energy’s Oak Ridge ...

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

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 ...

ORNL is uniquely positioned to bridge the gap between research and industrial application, not just by pushing the frontiers of knowledge but by making that science work where it matters most. Labbé ...

High-accuracy diffusion Monte Carlo (DMC) calculations revealed that competition between facile stacking faults and Se vacancies drives layer-dependent metal-insulator transitions (MIT) in PtSe 2. New ...

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 ...

Indoor cooling is essential to reduce heat stress and increase passive survivability during heatwaves. Although air conditioning (AC) is recommended for maintaining indoor thermal comfort, low- and ...