Filter News
Area of Research
- (-) Clean Energy (8)
- (-) Fusion Energy (1)
- Biological Systems (1)
- Biology and Environment (13)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Materials (7)
- Materials for Computing (3)
- National Security (2)
- Neutron Science (4)
- Quantum information Science (3)
- Supercomputing (11)
News Topics
- (-) Artificial Intelligence (1)
- (-) Big Data (1)
- (-) Bioenergy (2)
- (-) Machine Learning (2)
- (-) Microscopy (2)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (6)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Computer Science (11)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- Frontier (1)
- Fusion (6)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (11)
- Mathematics (1)
- Mercury (1)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (6)
- Polymers (5)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (28)
- Transportation (26)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
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.
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.
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.