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Research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.

Matthew Ryder has been named an emerging investigator by the American Chemical Society journal Crystal Growth and Design. The ACS recognized him as “one of an emerging generation of research group leaders for his work on porous materials design.”

A team led by the ORNL has found a rare quantum material in which electrons move in coordinated ways, essentially “dancing.”

ORNL has licensed its wireless charging technology for electric vehicles to Brooklyn-based HEVO. The system provides the world’s highest power levels in the smallest package and could one day enable electric vehicles to be charged as they are driven at highway speeds.

Researchers at ORNL have developed a robotic disassembly system for spent electric vehicle battery packs to safely and efficiently recycle and reuse critical materials while reducing toxic waste.

A new tool that simulates the energy profile of every building in America will give homeowners, utilities and companies a quick way to determine energy use and cost-effective retrofits that can reduce energy and carbon emissions.

Kathy McCarthy, associate laboratory director for Fusion and Fission Energy and Science at the Department of Energy’s Oak Ridge National Laboratory, has been elected fellow of the American Nuclear Society for her nationally and internationally recognized leadership in nuclear energy and fusion.

Six science and technology innovators from across the United States will join the fifth cohort of Oak Ridge National Laboratory’s Innovation Crossroads program in June.

The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.

The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.