Researchers at ORNL developed a new method to measure magnetic fluctuations at the nanoscale using a scanning NV center microscope, enhancing understanding of magnetic thin films for advancing computing technologies.

The U.S. Department of Energy and OpenAI collaborated at Oak Ridge National Lab, aiming to advance AI technology and maintain U.S. leadership in the field.

Oak Ridge National Laboratory researchers have unveiled a new method for predicting nuclear structures using the Frontier supercomputer, as detailed in their study in Physical Review X.

ORNL held an HPC Crash Course at SC24, offering students hands-on experience with supercomputers Frontier and Anvil, highlighting DOE's commitment to scientific and educational advancement.

ORNL researchers developed a chip integrating quantum photonic capabilities, advancing towards a practical quantum internet and scalable quantum networks, as reported in Optica Quantum.

Registration for the 2025 Quantum Summer School at Purdue University is open until Feb. 28, featuring rigorous training and collaboration in quantum science.

Hugh O'Neill uses neutron beams at ORNL to study biological materials, potentially advancing biofuel production by understanding cellulose synthesis at the molecular level.

Neus Domingo Marimon of Oak Ridge National Laboratory has been named a senior member of IEEE for her significant technical and professional achievements.

ORNL researchers led by Hsuan-Hao Lu have developed a pioneering quantum gate, improving quantum network resilience against errors and advancing quantum computing and communication.

Researchers at ORNL completed the Energy I-Corps program, working on a carbon capture system called Green Capture, aiming to commercialize their sustainable technology.

The Oak Ridge National Laboratory has developed AI technology that reduced the time to process cancer pathology reports from 22 to 14 months, potentially accelerating cancer detection and response.

Duke University researchers improved solid-state batteries using a material called Li6PS5Cl, suggesting safer, faster-charging, longer-lasting batteries. Neutron scattering and simulations showed lithium ions move easily through the material.

Massimiliano "Max" Lupo Pasini received the NERSC High Performance Computing Achievement Award for his innovative work on HydraGNN, an AI tool for material design.