Filter News
Area of Research
- Advanced Manufacturing (15)
- Biological Systems (2)
- Biology and Environment (32)
- Building Technologies (7)
- Chemical and Engineering Materials (1)
- Clean Energy (152)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Fossil Energy (1)
- Fusion and Fission (4)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (75)
- Materials for Computing (10)
- Mathematics (1)
- National Security (8)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (35)
- Nuclear Science and Technology (18)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (3)
- Renewable Energy (2)
- Sensors and Controls (2)
- Supercomputing (41)
- Transportation Systems (2)
News Type
Date
News Topics
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (14)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (24)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (11)
- Energy Storage (31)
- Environment (45)
- 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 (12)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
- Transportation (36)
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Research led by ORNL’s Marti Checa and Liam Collins has pioneered a groundbreaking approach described in the journal Nature Communications that enables visualizing charge motion at the nanometer level, or one billionth of a meter, but at speeds thousands of times faster than conventional methods.
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.
ORNL researchers have developed a novel way to encapsulate salt hydrate phase-change materials within polymer fibers through a coaxial pulling process. The discovery could lead to the widespread use of the low-carbon materials as a source of insulation for a building’s envelope.
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.
Researchers demonstrated that stainless steel and other metal alloys coated with hexagonal boron nitride, or hBN, exhibit non-stick or low-friction qualities along with improved long-term protection against harsh corrosion and high-temperature.
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
ORNL researchers demonstrated that an additive made from polymers and electrolytes improves the thermal performance and stability of salt hydrate phase change materials, or PCMs, a finding that could advance their integration into carbon-reducing heat pumps.
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.