Filter News
Area of Research
- Advanced Manufacturing (8)
- Biology and Environment (38)
- Building Technologies (2)
- Clean Energy (88)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Fusion Energy (4)
- Isotopes (2)
- Materials (49)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (5)
- Neutron Science (11)
- Nuclear Science and Technology (1)
- Quantum information Science (4)
- Supercomputing (31)
- Transportation Systems (2)
News Type
News Topics
- (-) Clean Water (13)
- (-) Computer Science (56)
- (-) Environment (58)
- (-) Frontier (4)
- (-) Materials Science (53)
- (-) Partnerships (7)
- (-) Polymers (14)
- (-) Quantum Computing (6)
- (-) Security (4)
- (-) Sustainable Energy (54)
- (-) Transportation (47)
- 3-D Printing/Advanced Manufacturing (49)
- Advanced Reactors (18)
- Artificial Intelligence (21)
- Big Data (20)
- Bioenergy (21)
- Biology (24)
- Biomedical (15)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (22)
- Climate Change (29)
- Composites (13)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (12)
- Energy Storage (47)
- Exascale Computing (4)
- Fusion (17)
- Grid (24)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (14)
- ITER (4)
- Machine Learning (12)
- Materials (68)
- Mathematics (1)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (10)
- Net Zero (2)
- Neutron Science (41)
- Nuclear Energy (35)
- Physics (10)
- Quantum Science (14)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Transformational Challenge Reactor (1)
Media Contacts
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
Four ORNL teams and one researcher were recognized for excellence in technology transfer and technology transfer innovation.
Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been appointed a Fellow of the Institute of Materials, Minerals and Mining.
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.
Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a 2023 Fellow of the National Academy of Inventors. Advincula has been recognized for his 14 patents and 21 published filings related to nanomaterials, smart coatings and films, solid-state device fabrication and chemical additives.
ORNL Environmental Sciences Division Director Eric Pierce presented the division’s 2023 Distinguished Achievement Awards at the organization’s December all-hands meeting.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
ORNL researchers determined that a connected and automated vehicle, or CAV, traveling on a multilane highway with integrated traffic light timing control can maximize energy efficiency and achieve up to 27% savings.
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.