Filter News
Area of Research
- (-) Biology and Environment (23)
- (-) National Security (3)
- (-) Supercomputing (8)
- Advanced Manufacturing (3)
- Building Technologies (2)
- Clean Energy (60)
- Climate and Environmental Systems (3)
- Computational Engineering (1)
- Computer Science (3)
- Energy Sciences (1)
- Fusion Energy (1)
- Materials (20)
- Materials for Computing (7)
- Mathematics (1)
- Neutron Science (23)
- Nuclear Science and Technology (2)
- Transportation Systems (2)
News Type
News Topics
- (-) Environment (20)
- (-) Exascale Computing (1)
- (-) Nanotechnology (1)
- (-) Security (1)
- (-) Sustainable Energy (11)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (2)
- Big Data (6)
- Bioenergy (10)
- Biology (15)
- Biomedical (5)
- Biotechnology (2)
- Chemical Sciences (1)
- Clean Water (3)
- Climate Change (10)
- Composites (1)
- Computer Science (19)
- Coronavirus (4)
- Critical Materials (3)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (2)
- Frontier (1)
- Fusion (1)
- Grid (4)
- High-Performance Computing (6)
- Hydropower (3)
- Machine Learning (2)
- Materials (2)
- Materials Science (1)
- Mercury (1)
- Nuclear Energy (1)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (1)
- Summit (6)
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.
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.