Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
The American Nuclear Society, or ANS, recognized Steven Arndt, a distinguished R&D staff member at Department of Energy’s Oak Ridge National Laboratory, during the organization’s annual conference in Las Vegas.
Xingang Zhao, an R&D associate staff member in the Modern Nuclear I&C group at the Department of Energy’s Oak Ridge National Laboratory, was recognized at the 2024 American Nuclear Society Annual Conference with the Ted Quinn Early Career Award.
Bill Partridge, a recently retired distinguished researcher at the U.S. Department of Energy’s Oak Ridge National Laboratory, was recognized by DOE’s Vehicle Technologies Office, or VTO, for leading world-class research in transportation throughout his 25-year career.
Leadership Tennessee has named Clarice Phelps to its 2024–2025 Signature Program Class XI to collaborate with professionals statewide to address Tennessee’s most serious issues.
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Six firms received Small Business Awards from the Department of Energy’s Oak Ridge National Laboratory. The companies, selected from small business service providers to the lab, were recognized by ORNL's Small Business Programs Office for their specific capabilities and contributions.
Anuj J. Kapadia, who leads the Advanced Computing in Health Sciences Section at the Department of Energy’s Oak Ridge National Laboratory, was named a 2024 Fellow by the American Association of Physicists in Medicine.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional organization
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
Today, scientific discovery is accelerated by automated experiments, artificial intelligence and high-performance computing. A novel tool developed at ORNL that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.