Filter News
Area of Research
- (-) Clean Energy (84)
- (-) Computer Science (9)
- (-) National Security (11)
- Advanced Manufacturing (12)
- Biological Systems (1)
- Biology and Environment (10)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (4)
- Fusion Energy (8)
- Isotopes (2)
- Materials (57)
- Materials for Computing (5)
- Neutron Science (17)
- Nuclear Science and Technology (33)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (6)
- Supercomputing (66)
- Transportation Systems (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (32)
- (-) Artificial Intelligence (10)
- (-) Bioenergy (17)
- (-) Computer Science (30)
- (-) Microscopy (4)
- (-) Nuclear Energy (5)
- (-) Polymers (5)
- (-) Transportation (27)
- Advanced Reactors (3)
- Big Data (8)
- Biology (2)
- Biomedical (4)
- Biotechnology (2)
- Chemical Sciences (2)
- Clean Water (5)
- Climate Change (8)
- Composites (3)
- Coronavirus (8)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (1)
- Energy Storage (22)
- Environment (32)
- Exascale Computing (1)
- Grid (12)
- High-Performance Computing (1)
- Isotopes (1)
- Machine Learning (10)
- Materials (2)
- Materials Science (18)
- Mathematics (1)
- Mercury (2)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (2)
- Neutron Science (8)
- Physics (1)
- Quantum Science (3)
- Security (7)
- Space Exploration (2)
- Summit (4)
- Sustainable Energy (28)
- Transformational Challenge Reactor (2)
Media Contacts
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.
In the shifting landscape of global manufacturing, American ingenuity is once again giving U.S companies an edge with radical productivity improvements as a result of advanced materials and robotic systems developed at the Department of Energy’s Manufacturing Demonstration Facility (MDF) at Oak Ridge National Laboratory.
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, Tenn., May 8, 2019—Oak Ridge National Laboratory and Lincoln Electric (NASDAQ: LECO) announced their continued collaboration on large-scale, robotic additive manufacturing technology at the Department of Energy’s Advanced Manufacturing InnovationXLab Summit.
When Scott Smith looks at a machine tool, he thinks not about what the powerful equipment used to shape metal can do – he’s imagining what it could do with the right added parts and strategies. As ORNL’s leader for a newly formed group, Machining and Machine Tool Research, Smith will have the opportunity to do just that.
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
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.