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Vittorio Badalassi, left, of Oak Ridge National Laboratory leads the Fusion Energy Reactor Models Integrator, or FERMI, project, and collaborates with ORNL computational physicist David Green. FERMI applies fission platforms to fusion reactor design. Credit: Commonwealth Fusion Systems and Colby Earles/ORNL, U.S. Dept. of Energy

Oak Ridge National Laboratory expertise in fission and fusion has come together to form a new collaboration, the Fusion Energy Reactor Models Integrator, or FERMI

ORNL’s Sergei Kalinin and Rama Vasudevan (foreground) use scanning probe microscopy to study bulk ferroelectricity and surface electrochemistry -- and generate a lot of data. Credit: Jason Richards/ORNL, U.S. Dept. of Energy

At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.

ORNL ecosystem scientist Colleen Iversen talked to fourth-grade students at Coulter Grove Intermediate School in Maryville on Friday, April 23, as part of National Environmental Education Week.

Esther Parish is one of eight scientists from the Department of Energy's Oak Ridge National Laboratory talking to students in nine schools across East Tennessee as part of National Environmental Education Week, or EE Week.

Nuclear engineer Nesrin Ozgan Cetiner led ORNL’s collaboration with AMS Corp. to test instrument and control sensors for the next generation of nuclear power reactor technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Toward the goal of bringing the next generation of nuclear power reactor technology online this decade, ORNL and Analysis and Measurement Services Corporation have successfully completed loop testing of instrument and control sensors for an advanced reactor design for small modular reactors.

Rich Giannone uses bioanalytical mass spectrometry to examine proteins, the primary driver in biological systems.

Rich Giannone uses bioanalytical mass spectrometry to examine proteins, the primary driver in biological systems.

Parans Paranthaman, a researcher in the Chemical Sciences Division at ORNL, coordinated research efforts to study the filter efficiency of the N95 material. His published results represent one of the first studies on polypropylene as it relates to COVID-19. Credit: ORNL/U.S. Dept. of Energy

When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.

ATOM logo

The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.

Data from the ORNL Free Air CO2 Enrichment experiment were combined with observations from more than 100 other FACE sites for this analysis, which revealed new insights about the relationship between plant biomass growth and soil carbon storage. Credit: Jeff Warren/ORNL, U.S. Dept. of Energy

Oak Ridge National Laboratory was among an international team, led by Lawrence Livermore National Laboratory, who synthesized 108 elevated carbon dioxide, or CO2, experiments performed in various ecosystems to find out how much carbon is

Data from the GEDI instrument on the International Space Station can help answer questions about Earth’s biomes and ecosystem impacts on the carbon cycle and climate. Credit: NASA

New data distributed through NASA’s Oak Ridge National Laboratory Distributed Active Archive Center, or ORNL DAAC, provide an unprecedented picture of plants’ carbon storage capacity around the globe.

Researchers at ORNL and the University of Tennessee developed an automated workflow that combines chemical robotics and machine learning to speed the search for stable perovskites. Credit: Jaimee Janiga/ORNL, U.S. Dept of Energy

Researchers at the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.