Filter News
Area of Research
- (-) Clean Energy (6)
- Biology and Environment (2)
- Fusion and Fission (4)
- Fusion Energy (5)
- Isotopes (1)
- Materials (5)
- National Security (2)
- Neutron Science (2)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (10)
News Topics
- (-) Artificial Intelligence (1)
- (-) Clean Water (1)
- (-) Machine Learning (2)
- (-) Nuclear Energy (1)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Bioenergy (3)
- Biomedical (1)
- Climate Change (3)
- Computer Science (4)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Environment (7)
- Grid (6)
- Materials Science (5)
- Mathematics (1)
- Microscopy (2)
- Polymers (1)
- Summit (1)
- Sustainable Energy (10)
- Transportation (9)
Media Contacts
The Transformational Challenge Reactor, or TCR, a microreactor built using 3D printing and other new advanced technologies, could be operational by 2024.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Sometimes conducting big science means discovering a species not much larger than a grain of sand.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.