
Researchers demonstrated that stainless steel and other metal alloys coated with hexagonal boron nitride, or hBN, exhibit non-stick or low-friction qualities along with improved long-term protection against harsh corrosion and high-temperature.
Researchers demonstrated that stainless steel and other metal alloys coated with hexagonal boron nitride, or hBN, exhibit non-stick or low-friction qualities along with improved long-term protection against harsh corrosion and high-temperature.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package.
A team of researchers from Oak Ridge National Laboratory, the University of Tennessee and Hong Kong Baptist University developed a new workflow that combines advances in automated chemical synthesis and machine-learning techniques.
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Researchers at ORNL have developed a new method for producing a key component of lithium-ion batteries. The result is a more affordable battery from a faster, less wasteful process that uses less toxic material.
Eight ORNL scientists are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
Rama Vasudevan, a research scientist at the Department of Energy’s Oak Ridge National Laboratory, has been elected a Fellow of the American Physical Society, or APS.
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.