Filter News
Area of Research
- Advanced Manufacturing (13)
- Biology and Environment (12)
- Building Technologies (1)
- Clean Energy (79)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (6)
- Materials (29)
- Materials for Computing (5)
- National Security (4)
- Neutron Science (5)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (14)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (49)
- (-) Artificial Intelligence (21)
- (-) Frontier (4)
- (-) Fusion (17)
- (-) Grid (24)
- (-) Machine Learning (12)
- (-) Molten Salt (6)
- (-) Quantum Science (14)
- (-) Transportation (47)
- Advanced Reactors (18)
- Big Data (20)
- Bioenergy (21)
- Biology (24)
- Biomedical (15)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (22)
- Clean Water (13)
- Climate Change (29)
- Composites (13)
- Computer Science (56)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (12)
- Energy Storage (47)
- Environment (58)
- Exascale Computing (4)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (14)
- ITER (4)
- Materials (68)
- Materials Science (53)
- Mathematics (1)
- Mercury (3)
- Microscopy (20)
- Nanotechnology (24)
- National Security (10)
- Net Zero (2)
- Neutron Science (41)
- Nuclear Energy (35)
- Partnerships (7)
- Physics (10)
- Polymers (14)
- Quantum Computing (6)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (54)
- Transformational Challenge Reactor (1)
Media Contacts
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.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
The Hub & Spoke Sustainable Materials & Manufacturing Alliance for Renewable Technologies, or SM2ART, program has been honored with the composites industry’s Combined Strength Award at the Composites and Advanced Materials Expo, or CAMX, 2023 in Atlanta. This distinction goes to the team that applies their knowledge, resources and talent to solve a problem by making the best use of composites materials.
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.
An Oak Ridge National Laboratory-developed advanced manufacturing technology, AMCM, was recently licensed by Orbital Composites and enables the rapid production of composite-based components, which could accelerate the decarbonization of vehicles