Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (32)
- Clean Energy (56)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (7)
- Isotopes (6)
- Materials (36)
- Materials for Computing (3)
- Mathematics (1)
- National Security (12)
- Neutron Science (8)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (17)
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Clean Water (13)
- (-) Critical Materials (13)
- (-) Cybersecurity (9)
- (-) Environment (60)
- (-) Fusion (18)
- (-) Grid (25)
- (-) Isotopes (15)
- (-) Machine Learning (14)
- (-) National Security (12)
- (-) Physics (10)
- (-) Polymers (14)
- 3-D Printing/Advanced Manufacturing (50)
- Advanced Reactors (18)
- Big Data (22)
- Bioenergy (22)
- Biology (25)
- Biomedical (15)
- Biotechnology (3)
- Buildings (29)
- Chemical Sciences (26)
- Climate Change (32)
- Composites (13)
- Computer Science (57)
- Coronavirus (15)
- Decarbonization (15)
- Energy Storage (48)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- ITER (4)
- Materials (68)
- Materials Science (54)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- Net Zero (3)
- Neutron Science (42)
- Nuclear Energy (36)
- Partnerships (8)
- Quantum Computing (6)
- Quantum Science (14)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- 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.
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
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.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
Mohamad Zineddin, a distinguished researcher in nuclear and radiological engineering, recently received the Roger Howsley Award for Excellence in Nuclear Security.
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.
A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
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.