Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (6)
- Clean Energy (23)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (7)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (32)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (12)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (22)
News Type
News Topics
- (-) Composites (19)
- (-) Frontier (17)
- (-) Nuclear Energy (49)
- (-) Physics (28)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (25)
- Artificial Intelligence (42)
- Big Data (25)
- Bioenergy (39)
- Biology (40)
- Biomedical (29)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (37)
- Clean Water (14)
- Climate Change (43)
- Computer Science (99)
- Coronavirus (28)
- Critical Materials (21)
- Cybersecurity (21)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (73)
- Environment (85)
- Exascale Computing (13)
- Fossil Energy (1)
- Fusion (23)
- Grid (37)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (3)
- Isotopes (23)
- ITER (5)
- Machine Learning (23)
- Materials (101)
- Materials Science (84)
- Mathematics (1)
- Mercury (5)
- Microscopy (29)
- Molten Salt (7)
- Nanotechnology (40)
- National Security (21)
- Net Zero (4)
- Neutron Science (83)
- Partnerships (27)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (39)
- Renewable Energy (1)
- Security (12)
- Simulation (17)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (77)
- Transformational Challenge Reactor (4)
- Transportation (64)
Media Contacts
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
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.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
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’s Luiz Leal of the Department of Energy’s Oak Ridge National Laboratory is the recipient of the 2023 Seaborg Medal from the American Nuclear Society.
Anne Campbell, a researcher at ORNL, recently won the Young Leaders Professional Development Award from the Minerals, Metals & Materials Society, or TMS, and has been chosen as the first recipient of the Young Leaders International Scholar Program award from TMS and the Korean Institute of Metals and Materials, or KIM.
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.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.