Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (7)
- (-) Fusion (8)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (2)
- Big Data (5)
- Bioenergy (13)
- Biology (23)
- Biomedical (10)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Climate Change (11)
- Composites (6)
- Computer Science (30)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (5)
- Decarbonization (7)
- Energy Storage (22)
- Environment (39)
- Exascale Computing (2)
- Frontier (4)
- Grid (11)
- High-Performance Computing (19)
- Isotopes (12)
- ITER (4)
- Machine Learning (1)
- Materials (32)
- Materials Science (22)
- Mathematics (1)
- Mercury (3)
- Microscopy (10)
- Nanotechnology (10)
- National Security (7)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (6)
- Physics (3)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (12)
- Security (3)
- Space Exploration (4)
- Statistics (1)
- Summit (9)
- Sustainable Energy (35)
- Transportation (21)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
From the helm of a one-of-a-kind organization that brings nuclear fusion and fission expertise together to pave the way to expanding carbon-free energy, Kathy McCarthy can trace the first step of her engineering career back to
Thirty-two Oak Ridge National Laboratory employees were named among teams recognized by former DOE Secretary Dan Brouillette with Secretary’s Honor Awards as he completed his term. Four teams received new awards that reflect DOE responses to the coronavirus pandemic.
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.