Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (33)
- Building Technologies (3)
- Clean Energy (153)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotopes (6)
- Materials (37)
- Materials for Computing (8)
- National Security (22)
- Neutron Science (21)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (56)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (101)
- (-) Biomedical (61)
- (-) Buildings (67)
- (-) Composites (30)
- (-) Grid (66)
- (-) Transportation (99)
- 3-D Printing/Advanced Manufacturing (128)
- Advanced Reactors (34)
- Big Data (61)
- Bioenergy (92)
- Biology (101)
- Biotechnology (24)
- Chemical Sciences (73)
- Clean Water (31)
- Climate Change (106)
- Computer Science (198)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (201)
- Exascale Computing (42)
- Fossil Energy (6)
- Frontier (45)
- Fusion (58)
- High-Performance Computing (93)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Machine Learning (51)
- Materials (147)
- Materials Science (146)
- Mathematics (10)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (73)
- Net Zero (14)
- Neutron Science (137)
- Nuclear Energy (111)
- Partnerships (51)
- Physics (64)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (72)
- Renewable Energy (2)
- Security (25)
- Simulation (52)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
Media Contacts
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
In Hong Wang’s world, nothing is beyond control. Before joining Oak Ridge National Laboratory as a senior distinguished researcher in transportation systems, he spent more than three decades studying the control of complex industrial systems in the United Kingdom.
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A team of researchers at Oak Ridge National Laboratory have demonstrated that designed synthetic polymers can serve as a high-performance binding material for next-generation lithium-ion batteries.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
Galigekere is principal investigator for the breakthrough work in fast, wireless charging of electric vehicles being performed at the National Transportation Research Center at Oak Ridge National Laboratory.
Oak Ridge National Laboratory is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.