In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
Using light instead of heat, researchers at ORNL have found a new way to release carbon dioxide, or CO2, from a solvent used in direct air capture, or DAC, to trap this greenhouse gas.
Critical Materials Institute researchers at Oak Ridge National Laboratory and Arizona State University studied the mineral monazite, an important source of rare-earth elements, to enhance methods of recovering critical materials for energy, defense
Oak Ridge National Laboratory scientists recently demonstrated a low-temperature, safe route to purifying molten chloride salts that minimizes their ability to corrode metals.
Two ORNL research projects were awarded through the Chemical and Materials Sciences to Advance Clean Energy Technologies and Low-Carbon Manufacturing funding opportunity, sponsored by the Office of Basic Energy Sciences within the DOE Office of Science.
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing
Radu Custelcean, an organic chemist at the Department of Energy’s Oak Ridge National Laboratory, is working with colleagues to develop an energy-efficient and sustainable
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Researchers at ORNL have developed a quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers.