Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
- (-) Advanced Manufacturing (9)
- (-) Transportation Systems (2)
- Biological Systems (1)
- Biology and Environment (44)
- Building Technologies (3)
- Clean Energy (188)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (10)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (28)
- Materials (149)
- Materials Characterization (2)
- Materials for Computing (22)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (25)
- Neutron Science (56)
- Nuclear Science and Technology (12)
- Quantum information Science (6)
- Supercomputing (119)
News Topics
- (-) Composites (3)
- (-) Computer Science (1)
- (-) Materials (6)
- (-) Space Exploration (1)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (22)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (1)
- Cybersecurity (1)
- Decarbonization (1)
- Fusion (1)
- Machine Learning (1)
- Materials Science (6)
- Neutron Science (2)
- Nuclear Energy (2)
- Sustainable Energy (5)
- Transformational Challenge Reactor (1)
Media Contacts
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.