Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (21)
- Building Technologies (3)
- Clean Energy (146)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (60)
- Materials for Computing (7)
- National Security (22)
- Neutron Science (21)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (34)
- Transportation Systems (2)
News Topics
- (-) Buildings (56)
- (-) Composites (25)
- (-) Grid (61)
- (-) Machine Learning (47)
- (-) Molten Salt (8)
- (-) Physics (59)
- (-) Space Exploration (25)
- (-) Transportation (95)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (51)
- Bioenergy (90)
- Biology (97)
- Biomedical (58)
- Biotechnology (22)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (97)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (51)
- ITER (7)
- Materials (142)
- Materials Science (137)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Polymers (32)
- Quantum Computing (31)
- Quantum Science (66)
- Renewable Energy (2)
- Security (24)
- Simulation (45)
- Software (1)
- Statistics (3)
- Summit (57)
- Sustainable Energy (123)
- Transformational Challenge Reactor (7)
Media Contacts
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
A modeling analysis led by ORNL gives the first detailed look at how geothermal energy can relieve the electric power system and reduce carbon emissions if widely implemented across the United States within the next few decades.
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.
The American Society of Heating, Refrigeration and Air-Conditioning Engineers, or ASHRAE, selected Jason DeGraw, a researcher with ORNL, as one of 23 members elevated to Fellow during its 2024 winter conference.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
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.
Four ORNL teams and one researcher were recognized for excellence in technology transfer and technology transfer innovation.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
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.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.