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Benjamin Sulman, a scientist in ORNL’s Environmental Sciences Division, creates Earth system models that simulate how plants, microbes and soils interact and influence the cycling of carbon, water and nutrients in their environment. His work aims to helps researchers across disciplines better understand complex, rapidly changing ecosystems, including coastal wetlands and Arctic permafrost soils. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

As rising global temperatures alter ecosystems worldwide, the need to accurately simulate complex environmental processes under evolving conditions is more urgent than ever.

An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy

An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.

Balendra Sutharshan

In the mid-1980s, Balendra Sutharshan moved to Canada from the island nation of Sri Lanka. That move set Sutharshan on a path that had him heading continent-spanning collaborations and holding leadership posts at multiple Department of Energy

Tyler Duckworth, left, poses with his father, Robert Duckworth, in front of the Summit supercomputer.  Tyler Duckworth has been named recipient of the 2021 UT-Battelle Scholarship to attend the University of Tennessee. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

L&N STEM Academy senior Tyler Duckworth has been named recipient of the 2021 UT-Battelle Scholarship to attend the University of Tennessee.

Brenda Smith, shown here working with a gas viscometer in her research lab, is one of several people concurrently researching the thermophysical properties of feedstock gas. Their research will support computational researchers who are designing processes to separate isotopes. Credit: Carlos Jones/ORNL, US Dept. of Energy

For years Brenda Smith found fulfillment working with nuclear batteries, a topic she’s been researching as a chemist at Oak Ridge National Laboratory.

Belinda Akpa applies her diverse expertise and high-performance computing to accelerate the drug discovery process and increase the chances of success when candidate molecules go to clinical trials. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Belinda Akpa is a chemical engineer with a talent for tackling big challenges and fostering inclusivity and diversity in the next generation of scientists.

Oak Ridge National Laboratory’s MENNDL AI software system can design thousands of neural networks in a matter of hours. One example uses a driving simulator to evaluate a network’s ability to perceive objects under various lighting conditions. Credit: ORNL, U.S. Dept. of Energy

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.

INCITE logo

The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains. 

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.

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.