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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.

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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

Saplings in an aspen grove recovering from wildfire have more fungal pathogens in their leaves than the original trees. Credit: Chris Schadt/ORNL, U.S. Dept. of Energy

An Oak Ridge National Laboratory research team discovered that aspen saplings emerging after wildfire have less diverse microbiomes and more pathogens in their leaves, providing new insights about how fire affects ecosystem recovery.

Stan Wullschleger

Stan Wullschleger has been selected as the associate laboratory director for the Biological and Environmental Systems Science Directorate, or BESSD, at ORNL.

ORNL’s Cory Stuart is head of data systems and cybersecurity for the DOE Atmospheric Radiation Measurement user facility. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Cory Stuart of ORNL applies his expertise as a systems engineer to ensure the secure and timely transfer of millions of measurements of Earth’s atmosphere, fueling science around the world.

ORNL has modeled the spike protein that binds the novel coronavirus to a human cell for better understanding of the dynamics of COVID-19. Credit: Stephan Irle/ORNL, U.S. Dept. of Energy

To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.

 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.