Filter News
Area of Research
- Advanced Manufacturing (14)
- Biology and Environment (26)
- Building Technologies (1)
- Clean Energy (86)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (19)
- Fusion Energy (9)
- Isotopes (2)
- Materials (26)
- Materials for Computing (4)
- Mathematics (1)
- National Security (19)
- Neutron Science (10)
- Nuclear Science and Technology (27)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (37)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (70)
- (-) Big Data (41)
- (-) Clean Water (28)
- (-) Grid (45)
- (-) Machine Learning (33)
- (-) Nuclear Energy (77)
- (-) Quantum Science (41)
- Advanced Reactors (22)
- Artificial Intelligence (60)
- Bioenergy (66)
- Biology (76)
- Biomedical (40)
- Biotechnology (15)
- Buildings (42)
- Chemical Sciences (33)
- Climate Change (74)
- Composites (16)
- Computer Science (126)
- Coronavirus (29)
- Critical Materials (14)
- Cybersecurity (17)
- Decarbonization (57)
- Education (1)
- Emergency (2)
- Energy Storage (65)
- Environment (150)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- Fusion (40)
- High-Performance Computing (54)
- Hydropower (11)
- Irradiation (2)
- Isotopes (34)
- ITER (5)
- Materials (76)
- Materials Science (85)
- Mathematics (7)
- Mercury (10)
- Microelectronics (2)
- Microscopy (34)
- Molten Salt (6)
- Nanotechnology (32)
- National Security (40)
- Net Zero (9)
- Neutron Science (77)
- Partnerships (16)
- Physics (37)
- Polymers (20)
- Quantum Computing (24)
- Renewable Energy (1)
- Security (13)
- Simulation (37)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (90)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
A team that included researchers at ORNL used a new twist on an old method to detect materials at some of the smallest amounts yet recorded. The results could lead to enhancements in security technology and aid the development of quantum sensors.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Three staff members in ORNL’s Fusion and Fission Energy and Science Directorate have moved into newly established roles facilitating communication and program management with sponsors of the directorate’s Nuclear Energy and Fuel Cycle Division.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
From July 15 to 26, 2024, the Department of Energy’s Oak Ridge National Laboratory will host the second U.S. Quantum Information Science, or QIS, Summer School.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
ORNL’s successes in QIS and its forward-looking strategy were recently recognized in the form of three funding awards that will help ensure the laboratory remains a leader in advancing quantum computers and networks.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.