Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (36)
- Building Technologies (1)
- Clean Energy (125)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (13)
- Energy Sciences (1)
- Fusion and Fission (8)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (19)
- Materials (88)
- Materials Characterization (1)
- Materials for Computing (15)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (22)
- Neutron Science (32)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Supercomputing (60)
- Transportation Systems (2)
News Type
News Topics
- (-) Biomedical (36)
- (-) Clean Water (20)
- (-) Computer Science (109)
- (-) Cybersecurity (26)
- (-) Energy Storage (86)
- (-) Isotopes (31)
- (-) Materials Science (95)
- (-) Mercury (9)
- (-) Statistics (3)
- (-) Transportation (71)
- 3-D Printing/Advanced Manufacturing (87)
- Advanced Reactors (25)
- Artificial Intelligence (46)
- Big Data (29)
- Bioenergy (56)
- Biology (60)
- Biotechnology (14)
- Buildings (40)
- Chemical Sciences (46)
- Climate Change (58)
- Composites (20)
- Coronavirus (34)
- Critical Materials (24)
- Decarbonization (41)
- Education (3)
- Element Discovery (1)
- Environment (116)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (18)
- Fusion (30)
- Grid (42)
- High-Performance Computing (46)
- Hydropower (8)
- Irradiation (2)
- ITER (6)
- Machine Learning (28)
- Materials (101)
- Mathematics (5)
- Microscopy (36)
- Molten Salt (7)
- Nanotechnology (44)
- National Security (36)
- Net Zero (6)
- Neutron Science (84)
- Nuclear Energy (57)
- Partnerships (27)
- Physics (44)
- Polymers (26)
- Quantum Computing (14)
- Quantum Science (38)
- Renewable Energy (1)
- Security (18)
- Simulation (18)
- Space Exploration (13)
- Summit (28)
- Sustainable Energy (88)
- Transformational Challenge Reactor (4)
Media Contacts
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
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.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
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.
It would be a challenge for any scientist to match Alexey Serov’s rate of inventions related to green hydrogen fuel. But this researcher at ORNL has 84 patents with at least 35 more under review, so his electrifying pace is unlikely to slow down any time soon.
Ateios Systems licensed an ORNL technology for solvent-free battery component production using electron curing. Through Innovation Crossroads, Ateios continues to work with ORNL to enable readiness for production-quality battery components.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.