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Xin Sun

Xin Sun has been selected as the associate laboratory director for the Energy Science and Technology Directorate, or ESTD, at the Department of Energy’s Oak Ridge National Laboratory.

 The researchers embedded a programmable model into a D-Wave quantum computer chip. Credit: D-Wave

A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.

ORNL recognized the small businesses that have made a positive impact on ORNL’s operations at the virtual 2020 Small Business Awards. Credit: ORNL, U.S. Dept. of Energy

Thirty-two Oak Ridge National Laboratory employees were named among teams recognized by former DOE Secretary Dan Brouillette with Secretary’s Honor Awards as he completed his term. Four teams received new awards that reflect DOE responses to the coronavirus pandemic.

Merlin Theodore holding N95 mask filtration material produced at DOE's Carbon Fiber Technology Facility

Three technologies developed by ORNL researchers have won National Technology Transfer Awards from the Federal Laboratory Consortium. One of the awards went to a team that adapted melt-blowing capabilities at DOE’s Carbon Fiber Technology Facility to enable the production of filter material for N95 masks in the fight against COVID-19.

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Researchers used neutrons to probe a running engine at ORNL’s Spallation Neutron Source

Gerald Tuskan will serve as Chief Executive Officer of the new ORNL-led Center for Bioenergy Innovation, one of four DOE bioenergy research centers.

The Department of Energy has announced funding for new research centers to accelerate the development of specialty plants and processes for a new generation of biofuels and bioproducts. The Center for Bioenergy Innovation (CBI), led by Oak Ridge National Laboratory...

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Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.