Feature Articles

SLAC National Accelerator Laboratory

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Updates every hour. Last Updated: 1-Jun-2026 17:15 ET (1-Jun-2026 21:15 GMT/UTC)

New laboratory to explore the quantum mysteries of nuclear materials

DOE/Idaho National Laboratory

Until now, most fundamental scientific research of quantum mechanics has focused on elements such as silicon because these materials are relatively inexpensive, easy to obtain and easy to work with. Now, Idaho National Laboratory researchers are planning to explore the frontiers of quantum mechanics with a new synthesis laboratory that can work with radioactive elements such as uranium and thorium.

Machine learning accelerates development of advanced manufacturing techniques

DOE/Pacific Northwest National Laboratory

Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.

5 big strides from Argonne towards nuclear energy’s future

DOE/Argonne National Laboratory

Nuclear energy is an exciting carbon-free energy source. Recent work at Argonne National Laboratory shows how nuclear energy can improve and why it is such an enticing resource in the fight against climate change.

Burping bacteria: Identifying Arctic microbes that produce greenhouse gases

DOE/Sandia National Laboratories

As greenhouse gases bubble up across the rapidly thawing Arctic, Sandia National Laboratories researchers are trying to identify other trace gases from soil microbes that could shed some light on what is occurring biologically in melting permafrost in the Arctic.

Brookhaven Lab names John C. Gordon Chemistry Division Chair

DOE/Brookhaven National Laboratory

John C. Gordon has been named Chemistry Division Chair at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, effective Sept. 12, 2022.

Machine learning takes hold in nuclear physics

DOE/Thomas Jefferson National Accelerator Facility

Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come online, with many papers published on the subject. Now, 18 authors from 11 institutions summarize this explosion of artificial intelligence-aided work in “Machine Learning in Nuclear Physics,” a paper recently published in Reviews of Modern Physics.

Journal: Reviews of Modern Physics

New tool helps researchers investigate clouds, rain and climate change

DOE/Argonne National Laboratory

Climate scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, Pennsylvania State University and the NASA Goddard Institute for Space Studies created an open-source research platform to generate highly accurate climate models.

Daniel Hayes: Then and Now / 2012 Early Career Award Winner

DOE/US Department of Energy

Daniel Hayes is an associate professor in ecosystem science at the University of Maine. His Early Career Award allowed him to collaborate with scientists around the world to study the impacts of thawing permafrost, using field measurements, remote observations, and simulation modeling.

Morse and Roberts win W.K.H. Panofsky Prize for muon g-2 experiment

DOE/Brookhaven National Laboratory

William M. Morse of the U.S. Department of Energy’s Brookhaven National Laboratory and Bradley Lee Roberts of Boston University will receive the American Physical Society’s 2023 W.K.H. Panofsky Prize in Experimental Particle Physics for their leadership of the muon g-2 experiment at Brookhaven Lab and its role in sparking a worldwide search for new physics.

Tapping the potential of wastewater for a sustainable future

DOE/Argonne National Laboratory

Argonne publishes new report assessing the potential for recovering resources including energy and nutrients from U.S. wastewater facilities.

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