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Media Contacts
![ORNL’s Marcel Demarteau inspects experiments along Neutrino Alley at the Spallation Neutron Source, which makes neutrinos as a byproduct. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/2020-P15166_0.jpg?h=c6980913&itok=GkpktZzV)
Marcel Demarteau is director of the Physics Division at the Department of Energy’s Oak Ridge National Laboratory. For topics from nuclear structure to astrophysics, he shapes ORNL’s physics research agenda.
![Distinguished Inventors](/sites/default/files/styles/list_page_thumbnail/public/2020-12/inventors.jpg?h=4631f1c1&itok=xhAGY0kv)
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
![At the University of Notre Dame, part of the Oak Ridge Deuterated Spectroscopic Array measured a reaction that causes noise in some neutrino detectors. Credit: Michael Febbraro/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/DSC_2095_new_0.jpg?h=6d0a8109&itok=c2-2mqbA)
A new study clears up a discrepancy regarding the biggest contributor of unwanted background signals in specialized detectors of neutrinos.
Oak Ridge National Laboratory and collaborators have discovered that signaling molecules known to trigger symbiosis between plants and soil bacteria are also used by almost all fungi as chemical signals to communicate with each other.
![Diverse evidence shows that plants and soil will likely capture and hold more carbon in response to increasing levels of carbon dioxide in the atmosphere, according to an analysis published by an international research team led by Oak Ridge National Laboratory.](/sites/default/files/styles/list_page_thumbnail/public/2020-12/Climate%20%E2%80%93%20Global%20change%20analyses.jpg?h=468b42ad&itok=lhTGb-s4)
![A Co-Optima research team led by Oak Ridge National Laboratory’s Jim Szybist in collaboration with Argonne, Sandia and the National Renewable Energy Laboratory, created a merit function tool that evaluates six fuel properties and their impact on engine performance, giving the scientific community a guide to quickly evaluate biofuels. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/2017-P08539-2_0.jpg?h=b6236d98&itok=h0OT2BqC)
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
![Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-11/AAASfellows.jpg?h=d761c044&itok=opKRkA17)
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
![Pal Hanson](/sites/default/files/styles/list_page_thumbnail/public/2020-11/2018-P08117_0.jpg?h=8f9cfe54&itok=LmdnlOWX)
Paul J. Hanson, ORNL Corporate Fellow, has been elected to the 2020 Class of Fellows of the American Geophysical Union.
![Frontier supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2023-01/frontier_0.jpg?h=a1e1a043&itok=J3IM_Xeh)
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
![Blue sky above ORNL campus.](/sites/default/files/styles/list_page_thumbnail/public/2020-11/ORNLCampus1_0.jpg?h=85f71c8f&itok=Bic6TXC0)
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.