Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Building Technologies (1)
- Clean Energy (59)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Fusion Energy (8)
- Isotopes (3)
- Materials (17)
- Materials for Computing (3)
- Mathematics (1)
- National Security (7)
- Neutron Science (28)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (21)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (15)
- (-) Big Data (22)
- (-) Biomedical (19)
- (-) Computer Science (52)
- (-) Frontier (4)
- (-) Fusion (16)
- (-) Grid (27)
- (-) Neutron Science (35)
- (-) Transportation (47)
- 3-D Printing/Advanced Manufacturing (43)
- Artificial Intelligence (17)
- Bioenergy (32)
- Biology (38)
- Biotechnology (7)
- Buildings (28)
- Chemical Sciences (17)
- Clean Water (19)
- Climate Change (37)
- Composites (11)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Security (7)
- Simulation (11)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
Media Contacts
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.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
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.
Canan Karakaya, a R&D Staff member in the Chemical Process Scale-Up group at ORNL, was inspired to become a chemical engineer after she experienced a magical transformation that turned ammonia gas into ammonium nitrate, turning a liquid into white flakes gently floating through the air.
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.
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.
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.
Oak Ridge National Laboratory researchers have identified the most energy-efficient 2024 model year vehicles available in the United States, including electric and hybrids, in the latest edition of the Department of Energy’s Fuel Economy Guide.