Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
News Topics
- (-) Energy Storage (51)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (12)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (44)
- Biology (52)
- Biomedical (22)
- Biotechnology (12)
- Buildings (27)
- Chemical Sciences (31)
- Clean Water (18)
- Climate Change (42)
- Composites (14)
- Computer Science (88)
- Coronavirus (14)
- Critical Materials (10)
- Cybersecurity (19)
- Decarbonization (37)
- Education (3)
- Emergency (1)
- Environment (101)
- Exascale Computing (19)
- Fossil Energy (2)
- Frontier (25)
- Fusion (22)
- Grid (32)
- High-Performance Computing (52)
- Hydropower (3)
- Irradiation (2)
- Isotopes (24)
- ITER (4)
- Machine Learning (21)
- Materials (91)
- Materials Science (58)
- Mathematics (3)
- Mercury (6)
- Microelectronics (2)
- Microscopy (22)
- Molten Salt (2)
- Nanotechnology (23)
- National Security (28)
- Net Zero (6)
- Neutron Science (68)
- Nuclear Energy (44)
- Partnerships (24)
- Physics (23)
- Polymers (11)
- Quantum Computing (17)
- Quantum Science (31)
- Renewable Energy (2)
- Security (8)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (27)
- Sustainable Energy (60)
- Transportation (51)
Media Contacts
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.