ORNL researchers recognized as among world’s most cited
A modeling analysis led by ORNL gives the first detailed look at how geothermal energy can relieve the electric power system and reduce carbon emissions if widely implemented across the United States within the next few decades.
Ben Mellon was on his fourth week of sleeping in the ETCH neonatal intensive care unit when he learned his ORNL coworkers had raised $20,000 to help buy a premature infant training simulator for the hospital. By then, Mellon, an information technology specialist at ORNL, already had seen the impact that donation could have.
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
Three staff members in ORNL’s Fusion and Fission Energy and Science Directorate have moved into newly established roles facilitating communication and program management with sponsors of the directorate’s Nuclear Energy and Fuel Cycle Division.
A key industrial isotope, iridium-192, has not been produced in the U.S. in almost 20 years. DOE's Isotope Program and QSA Global Inc. announced a joint product development agreement to initiate U.S. production of iridium-192.
ORNL was represented by four scientists at last year’s United Nations Framework Convention on Climate Change Conference of the Parties, known as COP28. This is the first time ORNL participated as an official Observer Organization.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
The American Society of Heating, Refrigeration and Air-Conditioning Engineers, or ASHRAE, selected Jason DeGraw, a researcher with ORNL, as one of 23 members elevated to Fellow during its 2024 winter conference.
Research led by ORNL’s Marti Checa and Liam Collins has pioneered a groundbreaking approach described in the journal Nature Communications that enables visualizing charge motion at the nanometer level, or one billionth of a meter, but at speeds thousands of times faster than conventional methods.
Researchers at the Statewide California Earthquake Center are unraveling the mysteries of earthquakes by using physics-based computational models running on high-performance computing systems at ORNL. The team’s findings will provide a better understanding of seismic hazards in the Golden State.