Filter News
Area of Research
- (-) Biology and Environment (41)
- (-) Neutron Science (20)
- Advanced Manufacturing (2)
- Clean Energy (122)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (17)
- Isotopes (25)
- Materials (51)
- Materials for Computing (6)
- Mathematics (1)
- National Security (25)
- Nuclear Science and Technology (23)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (87)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (14)
- (-) Big Data (11)
- (-) Clean Water (13)
- (-) Fusion (1)
- (-) Grid (3)
- (-) Isotopes (2)
- (-) Summit (15)
- (-) Transportation (8)
- 3-D Printing/Advanced Manufacturing (15)
- Bioenergy (50)
- Biology (75)
- Biomedical (26)
- Biotechnology (13)
- Buildings (2)
- Chemical Sciences (13)
- Climate Change (42)
- Composites (5)
- Computer Science (31)
- Coronavirus (18)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (21)
- Energy Storage (13)
- Environment (98)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- High-Performance Computing (22)
- Hydropower (8)
- Machine Learning (11)
- Materials (25)
- Materials Science (28)
- Mathematics (4)
- Mercury (7)
- Microscopy (13)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (5)
- Net Zero (2)
- Neutron Science (100)
- Nuclear Energy (4)
- Partnerships (5)
- Physics (11)
- Polymers (3)
- Quantum Computing (1)
- Quantum Science (7)
- Renewable Energy (1)
- Security (4)
- Simulation (15)
- Space Exploration (3)
- Sustainable Energy (32)
- Transformational Challenge Reactor (1)
Media Contacts
Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
In 1993 as data managers at ORNL began compiling observations from field experiments for the National Aeronautics and Space Administration, the information fit on compact discs and was mailed to users along with printed manuals.
For 25 years, scientists at Oak Ridge National Laboratory have used their broad expertise in human health risk assessment, ecology, radiation protection, toxicology and information management to develop widely used tools and data for the U.S. Environmental Protection Agency as part of the agency’s Superfund program.
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.