Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (22)
- Clean Energy (78)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (16)
- Fusion Energy (11)
- Isotopes (3)
- Materials (37)
- Materials for Computing (10)
- Mathematics (1)
- National Security (15)
- Neutron Science (14)
- Nuclear Science and Technology (10)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (34)
- Transportation Systems (2)
News Type
News Topics
- (-) Clean Water (28)
- (-) Fusion (40)
- (-) Grid (47)
- (-) Machine Learning (35)
- (-) Nanotechnology (28)
- (-) Quantum Science (42)
- (-) Space Exploration (22)
- (-) Transportation (63)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (21)
- Artificial Intelligence (65)
- Big Data (47)
- Bioenergy (67)
- Biology (79)
- Biomedical (43)
- Biotechnology (15)
- Buildings (43)
- Chemical Sciences (39)
- Climate Change (76)
- Composites (17)
- Computer Science (129)
- Coronavirus (28)
- Critical Materials (17)
- Cybersecurity (17)
- Decarbonization (58)
- Education (2)
- Emergency (2)
- Energy Storage (61)
- Environment (150)
- Exascale Computing (32)
- Fossil Energy (5)
- Frontier (28)
- High-Performance Computing (60)
- Hydropower (11)
- Irradiation (2)
- Isotopes (36)
- ITER (5)
- Materials (81)
- Materials Science (83)
- Mathematics (9)
- Mercury (10)
- Microelectronics (3)
- Microscopy (31)
- Molten Salt (6)
- National Security (50)
- Net Zero (10)
- Neutron Science (81)
- Nuclear Energy (75)
- Partnerships (22)
- Physics (35)
- Polymers (17)
- Quantum Computing (27)
- Renewable Energy (1)
- Security (13)
- Simulation (41)
- Software (1)
- Statistics (2)
- Summit (39)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
Media Contacts
For the first time, ORNL will run equipment developed at its research facilities on a commercially available quantum network at EPB Quantum Network powered by Qubitekk to help validate the technology's commercial viability.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
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.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
At ORNL, a group of scientists used neutron scattering techniques to investigate a relatively new functional material called a Weyl semimetal. These Weyl fermions move very quickly in a material and can carry electrical charge at room temperature. Scientists think that Weyl semimetals, if used in future electronics, could allow electricity to flow more efficiently and enable more energy-efficient computers and other electronic devices.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
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.