Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
- (-) Computer Science (1)
- (-) Fusion Energy (4)
- (-) Isotopes (1)
- (-) Neutron Science (26)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (16)
- Fusion and Fission (3)
- Materials (17)
- Materials for Computing (3)
- National Security (6)
- Nuclear Science and Technology (10)
- Supercomputing (24)
News Topics
- (-) Biomedical (6)
- (-) Fusion (4)
- (-) Grid (1)
- (-) Machine Learning (1)
- (-) National Security (1)
- (-) Neutron Science (25)
- (-) Physics (2)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (4)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (3)
- Climate Change (1)
- Computer Science (9)
- Coronavirus (5)
- Energy Storage (2)
- Environment (2)
- Frontier (1)
- Isotopes (3)
- Materials Science (9)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (5)
- Nuclear Energy (6)
- Polymers (1)
- Quantum Science (3)
- Security (1)
- Sustainable Energy (3)
- Transportation (1)
Media Contacts
An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades — a feature that could possibly facilitate superconductivity at or near room temperature and pressure.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.