Filter News
Area of Research
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (33)
- Building Technologies (1)
- Clean Energy (79)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (12)
- Energy Sciences (1)
- Fusion and Fission (5)
- Fusion Energy (3)
- Isotopes (22)
- Materials (72)
- Materials for Computing (15)
- Mathematics (1)
- National Security (18)
- Neutron Science (27)
- Nuclear Science and Technology (7)
- Quantum information Science (6)
- Supercomputing (81)
News Type
News Topics
- (-) Biomedical (42)
- (-) Computer Science (129)
- (-) Cybersecurity (17)
- (-) Energy Storage (61)
- (-) Frontier (28)
- (-) Isotopes (36)
- (-) Materials (81)
- (-) Microscopy (31)
- (-) Physics (35)
- (-) Space Exploration (22)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (21)
- Artificial Intelligence (65)
- Big Data (47)
- Bioenergy (67)
- Biology (78)
- Biotechnology (15)
- Buildings (43)
- Chemical Sciences (38)
- Clean Water (28)
- Climate Change (76)
- Composites (17)
- Coronavirus (28)
- Critical Materials (17)
- Decarbonization (58)
- Education (2)
- Emergency (2)
- Environment (150)
- Exascale Computing (32)
- Fossil Energy (5)
- Fusion (40)
- Grid (47)
- High-Performance Computing (60)
- Hydropower (11)
- Irradiation (2)
- ITER (5)
- Machine Learning (35)
- Materials Science (83)
- Mathematics (9)
- Mercury (10)
- Microelectronics (3)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (50)
- Net Zero (10)
- Neutron Science (80)
- Nuclear Energy (75)
- Partnerships (22)
- Polymers (17)
- Quantum Computing (27)
- Quantum Science (42)
- Renewable Energy (1)
- Security (13)
- Simulation (41)
- Software (1)
- Statistics (2)
- Summit (39)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
- Transportation (63)
Media Contacts
Scientists have determined that a rare element found in some of the oldest solids in the solar system, such as meteorites, and previously thought to have been forged in supernova explosions, actually predate such cosmic events, challenging long-held theories about its origin.
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
Researchers conduct largest, most accurate molecular dynamics simulations to date of two million correlated electrons using Frontier, the world’s fastest supercomputer. The simulation, which exceed an exaflop using full double precision, is 1,000 times greater in size and speed than any quantum chemistry simulation of it's kind.
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
ORNL's Guang Yang and Andrew Westover have been selected to join the first cohort of DOE’s Advanced Research Projects Agency-Energy Inspiring Generations of New Innovators to Impact Technologies in Energy 2024 program. The program supports early career scientists and engineers in their work to convert disruptive ideas into impactful energy technologies.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
Advanced materials research to enable energy-efficient, cost-competitive and environmentally friendly technologies for the United States and Japan is the goal of a memorandum of understanding, or MOU, between the Department of Energy’s Oak Ridge National Laboratory and Japan’s National Institute of Materials Science.