Filter News
Area of Research
- (-) Clean Energy (51)
- (-) Fusion and Fission (18)
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (56)
- Materials Characterization (1)
- Materials for Computing (10)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (18)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Supercomputing (49)
News Type
News Topics
- (-) Climate Change (7)
- (-) Computer Science (10)
- (-) Frontier (2)
- (-) Fusion (8)
- (-) Grid (11)
- (-) Isotopes (1)
- (-) Materials Science (15)
- (-) Nuclear Energy (14)
- (-) Polymers (5)
- (-) Transportation (19)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (6)
- Artificial Intelligence (5)
- Big Data (3)
- Bioenergy (14)
- Biology (6)
- Biomedical (3)
- Biotechnology (2)
- Buildings (10)
- Chemical Sciences (13)
- Clean Water (1)
- Composites (6)
- Coronavirus (4)
- Critical Materials (4)
- Cybersecurity (3)
- Decarbonization (12)
- Energy Storage (28)
- Environment (19)
- Exascale Computing (2)
- Fossil Energy (1)
- High-Performance Computing (3)
- ITER (2)
- Machine Learning (5)
- Materials (19)
- Mercury (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (4)
- Net Zero (1)
- Neutron Science (10)
- Partnerships (9)
- Physics (1)
- Quantum Science (1)
- Renewable Energy (1)
- Security (4)
- Simulation (3)
- Space Exploration (1)
- Summit (2)
- Sustainable Energy (28)
- Transformational Challenge Reactor (3)
Media Contacts
ORNL and Caterpillar Inc. have entered into a cooperative research and development agreement, or CRADA, to investigate using methanol as an alternative fuel source for four-stroke internal combustion marine engines.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
Sreenivasa Jaldanki, a researcher in the Grid Systems Modeling and Controls group at the Department of Energy’s Oak Ridge National Laboratory, was recently elevated to senior membership in the Institute of Electrical and Electronics Engineers, or IEEE.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
Subho Mukherjee, an R&D associate in the Vehicle Power Electronics Research group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers.
Rose Montgomery, a distinguished researcher and leader of the Used Fuel and Nuclear Material Disposition group at ORNL, has been selected to participate in the U.S. WIN Nuclear Executives of Tomorrow, or NEXT, class of 2023 to 2024.
Leigh R. Martin, a senior scientist and leader of the Fuel Cycle Chemical Technology group at ORNL, has been named a Fellow of the American Chemical Society for 2023.
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.