Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (19)
- Building Technologies (2)
- Clean Energy (59)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (6)
- Energy Sciences (2)
- Fusion and Fission (2)
- Fusion Energy (8)
- Isotopes (2)
- Materials (16)
- Materials for Computing (3)
- Mathematics (1)
- National Security (2)
- Neutron Science (24)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Supercomputing (8)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (13)
- (-) Artificial Intelligence (13)
- (-) Climate Change (22)
- (-) Energy Storage (31)
- (-) Neutron Science (27)
- (-) Nuclear Energy (19)
- (-) Security (1)
- (-) Space Exploration (10)
- (-) Statistics (1)
- (-) Sustainable Energy (45)
- (-) Transportation (35)
- 3-D Printing/Advanced Manufacturing (31)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (10)
- Clean Water (13)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (9)
- Environment (44)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (9)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Machine Learning (11)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Simulation (7)
- Summit (6)
Media Contacts
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.
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
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.