Researchers at ORNL are using advanced manufacturing techniques to revitalize the domestic production of very large metal parts that weigh at least 10,000 pounds each and are necessary for a variety of industries, including clean energy.
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A research team led by scientists at the Department of Energy’s Oak Ridge National Laboratory has developed a novel technique for creating precise atomic arrangements in ferroelectrics, establishing a robust framework for advancing powerful new technolo
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Combining two techniques, analytical chemists at the Department of Energy’s Oak Ridge National Laboratory became the first to detect fluorine and different isotopes of uranium in a single particle at the same time.
A new technology to continuously place individual atoms exactly where they are needed could lead to new materials for devices that address critical needs for the field of quantum computing and communication that cannot be produced by conventional means.
From Sept. 16 through Sept. 20, the Physical Sciences Directorate at Oak Ridge National Laboratory ran a campaign in honor of National Postdoc Appreciation Week, an event spearheaded by the National Postdoctoral Association.
Distinguished materials scientist Takeshi Egami has spent his career revealing the complex atomic structure of metallic glass and other liquids — sometimes sharing theories with initially resistant minds in the scientific community.
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have found a chemical “chameleon” that could improve the process used to purify rare-earth metals used in clean energy, medical and national security applications.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.