Filter News
Area of Research
- Advanced Manufacturing (7)
- Biological Systems (1)
- Biology and Environment (25)
- Clean Energy (45)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (79)
- Materials Characterization (1)
- Materials for Computing (13)
- Materials Under Extremes (1)
- National Security (4)
- Neutron Science (28)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (32)
- Transportation Systems (1)
News Type
News Topics
- (-) Bioenergy (39)
- (-) Composites (18)
- (-) Fusion (23)
- (-) Materials Science (83)
- (-) Physics (28)
- (-) Renewable Energy (1)
- (-) Summit (26)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Big Data (24)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Climate Change (44)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (26)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Grid (35)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Mathematics (1)
- Mercury (5)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (44)
- Partnerships (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Security (12)
- Simulation (15)
- Space Exploration (13)
- Statistics (3)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (59)
Media Contacts
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
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.
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%.