Filter News
Area of Research
- (-) Clean Energy (4)
- (-) Materials for Computing (3)
- Advanced Manufacturing (1)
- Biology and Environment (4)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (2)
- Fusion Energy (6)
- Isotopes (1)
- Materials (10)
- National Security (1)
- Neutron Science (24)
- Nuclear Science and Technology (4)
- Quantum information Science (3)
- Supercomputing (8)
News Topics
- (-) Artificial Intelligence (1)
- (-) Biomedical (2)
- (-) Machine Learning (2)
- (-) Neutron Science (1)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (25)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (2)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Computer Science (10)
- Coronavirus (4)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (17)
- Materials Science (14)
- Mathematics (1)
- Mercury (1)
- Microscopy (4)
- Nanotechnology (4)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (28)
- Transportation (27)
Media Contacts
A discovery by Oak Ridge National Laboratory researchers may aid the design of materials that better manage heat.
Oak Ridge National Laboratory scientists demonstrated that an electron microscope can be used to selectively remove carbon atoms from graphene’s atomically thin lattice and stitch transition-metal dopant atoms in their place.
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
Scientists at Oak Ridge National Laboratory and the University of Tennessee designed and demonstrated a method to make carbon-based materials that can be used as electrodes compatible with a specific semiconductor circuitry.
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.
A novel method developed at Oak Ridge National Laboratory creates supertough renewable plastic with improved manufacturability. Working with polylactic acid, a biobased plastic often used in packaging, textiles, biomedical implants and 3D printing, the research team added tiny amo...