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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.

ORNL, in collaboration with Cincinnati, Inc., used the Big Area Additive Manufacturing machine to 3D print a mold made of recycled thermoplastic composite and syntactic foam, demonstrating the potential for multimaterials in large-scale applications. Credit: ORNL/U.S. Dept. of Energy

Oak Ridge National Laboratory researchers, in collaboration with Cincinnati Inc., demonstrated the potential for using multimaterials and recycled composites in large-scale applications by 3D printing a mold that replicated a single facet of a

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.

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.

ORNL researchers combined additive manufacturing with conventional compression molding to produce high-performance thermoplastic composites, demonstrating the potential for the use of large-scale multimaterial preforms to create molded composites. Credit: ORNL/U.S. Dept. of Energy

Oak Ridge National Laboratory researchers combined additive manufacturing with conventional compression molding to produce high-performance thermoplastic composites reinforced with short carbon fibers.

Technicians John Dyer and T. Dyer use a manipulator arm in a shielded cave in ORNL’s Radiochemical Engineering Development Center to separate concentrated Pm-147 from byproducts generated through the production of Pu-238.

A new method developed at Oak Ridge National Laboratory proves one effort’s trash is another’s valuable isotope. One of the byproducts of the lab’s national plutonium-238 production program is promethium-147, a rare isotope used in nuclear batteries and to measure the thickness of materials.

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.

The Perseverance rover

On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.

ORNL welder Devin Johnson uses a new orbital welder to seal a hollow target in a glovebox in the lab’s Radiochemical Engineering Development Center. The new welder makes a clean seam on the metal target, eliminating the need for hand-finishing afterward. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

A better way of welding targets for Oak Ridge National Laboratory’s plutonium-238 production has sped up the process and improved consistency and efficiency. This advancement will ultimately benefit the lab’s goal to make enough Pu-238 – the isotope that powers NASA’s deep space missions – to yield 1.5 kilograms of plutonium oxide annually by 2026.

The researchers embedded a programmable model into a D-Wave quantum computer chip. Credit: D-Wave

Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.