Feature Articles

Oak Ridge National Laboratory

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Updates every hour. Last Updated: 8-Jun-2026 03:16 ET (8-Jun-2026 07:16 GMT/UTC)

Argonne supercomputing resources power energy savings analysis

DOE/Argonne National Laboratory

As part of a larger goal to model the energy use of every building in the nation, researchers from Oak Ridge National Laboratory have analyzed 178,000 buildings using the Argonne Leadership Computing Facility.

James Kneller: Then and Now / 2011 Early Career Award Winner

DOE/US Department of Energy

At North Carolina State University, associate professor James Kneller studies neutrinos emitted from exploding stars.

Nuclear reactor components 3D printed by ORNL now installed at TVA Browns Ferry nuclear plant

DOE/Oak Ridge National Laboratory

Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating conditions at the Tennessee Valley Authority’s Browns Ferry Nuclear Plant Unit 2 in Athens, Alabama.

A call to rethink electricity measurement

DOE/Pacific Northwest National Laboratory

PNNL researcher's proposed overhaul of outdated electricity measurements could mean fewer blackouts, better automation, and more clean energy resources.

Green diesel for the road ahead

DOE/Pacific Northwest National Laboratory

A new report led by PNNL identifies the top 13 most promising waste- and biomass-derived diesel blendstocks for reducing greenhouse gas emissions, other pollutants, and overall system costs.

Bringing discoveries to light: X-ray science at Argonne

DOE/Argonne National Laboratory

The Advanced Photon Source allows an intricate view of everything from proteins to nuclear fuel. With a planned upgrade, it will become even more powerful.

Waste to energy: Biofuel from kelp harvesting and fish

DOE/Pacific Northwest National Laboratory

Using existing fish processing plants, kelp and fish waste can be converted to a diesel-like fuel to power generators or fishing boats in remote, coastal Alaska.

Machine learning provides a shortcut to simulate interactions in materials for solar energy harvesting

DOE/Argonne National Laboratory

Computer simulations can help us understand interactions in materials for solar energy harvesting, but they can be extremely complex. Researchers at Argonne have simplified these modeling tasks using machine learning to speed up materials development.

Journal: Chemical Science

Fungus that tastes just right

DOE/Pacific Northwest National Laboratory

PNNL researchers are forming a clearer picture of how plant matter is transformed in the microbial gardens created by leaf-cutter ants.

Funder: Department of Agriculture

AI learns physics to optimize particle accelerator performance

DOE/SLAC National Accelerator Laboratory

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated that they can use machine learning to optimize the performance of particle accelerators by teaching the algorithms the basic physics principles behind accelerator operations – no prior data needed.

Journal: Physical Review Accelerators and Beams