Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
- (-) Clean Energy (21)
- (-) Computational Engineering (2)
- Advanced Manufacturing (1)
- Biology and Environment (8)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computer Science (10)
- Fusion Energy (6)
- Materials (11)
- Materials for Computing (2)
- Mathematics (1)
- National Security (2)
- Neutron Science (2)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Supercomputing (18)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (2)
- (-) Clean Water (4)
- (-) Computer Science (10)
- (-) Decarbonization (4)
- (-) Nuclear Energy (1)
- (-) Polymers (5)
- 3-D Printing/Advanced Manufacturing (23)
- Big Data (2)
- Bioenergy (2)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Climate Change (6)
- Composites (9)
- Coronavirus (2)
- Critical Materials (4)
- Energy Storage (21)
- Environment (15)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Machine Learning (3)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.