Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (10)
- Clean Energy (20)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (7)
- Isotopes (7)
- Materials (43)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- National Security (6)
- Neutron Science (34)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (15)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Biomedical (15)
- (-) Fusion (18)
- (-) Isotopes (15)
- (-) Materials Science (54)
- (-) Neutron Science (42)
- (-) Physics (10)
- (-) Security (4)
- (-) Summit (8)
- 3-D Printing/Advanced Manufacturing (50)
- Advanced Reactors (18)
- Big Data (22)
- Bioenergy (22)
- Biology (25)
- Biotechnology (3)
- Buildings (29)
- Chemical Sciences (26)
- Clean Water (13)
- Climate Change (32)
- Composites (13)
- Computer Science (57)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (15)
- Energy Storage (48)
- Environment (60)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Grid (25)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- ITER (4)
- Machine Learning (14)
- Materials (68)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (12)
- Net Zero (3)
- Nuclear Energy (36)
- Partnerships (8)
- Polymers (14)
- Quantum Computing (6)
- Quantum Science (14)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Sustainable Energy (56)
- Transformational Challenge Reactor (1)
- Transportation (49)
Media Contacts
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
The award was given in “recognition of his lifelong leadership in fusion technology for plasma fueling systems in magnetically confined fusion systems.”
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
Leadership Tennessee has named Clarice Phelps to its 2024–2025 Signature Program Class XI to collaborate with professionals statewide to address Tennessee’s most serious issues.
Lætitia H. Delmau, a distinguished researcher and radiochemist at Oak Ridge National Laboratory, has received the 2024 Glenn T. Seaborg Actinide Separations Award.
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.