Filter News
Area of Research
- (-) Materials (51)
- (-) National Security (20)
- (-) Neutron Science (18)
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (74)
- Clean Energy (62)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Materials for Computing (7)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (86)
News Topics
- (-) Artificial Intelligence (24)
- (-) Big Data (8)
- (-) Bioenergy (18)
- (-) Composites (9)
- (-) Microscopy (27)
- (-) Molten Salt (3)
- (-) Summit (7)
- 3-D Printing/Advanced Manufacturing (29)
- Advanced Reactors (6)
- Biology (13)
- Biomedical (19)
- Biotechnology (2)
- Buildings (6)
- Chemical Sciences (34)
- Clean Water (4)
- Climate Change (9)
- Computer Science (40)
- Coronavirus (13)
- Critical Materials (13)
- Cybersecurity (21)
- Decarbonization (11)
- Energy Storage (39)
- Environment (26)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (4)
- Fusion (9)
- Grid (11)
- High-Performance Computing (10)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (18)
- Materials (81)
- Materials Science (87)
- Mathematics (1)
- Nanotechnology (43)
- National Security (35)
- Net Zero (1)
- Neutron Science (108)
- Nuclear Energy (22)
- Partnerships (15)
- Physics (31)
- Polymers (18)
- Quantum Computing (4)
- Quantum Science (16)
- Renewable Energy (1)
- Security (12)
- Simulation (2)
- Space Exploration (5)
- Sustainable Energy (16)
- Transformational Challenge Reactor (3)
- Transportation (21)
Media Contacts
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
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.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.