Filter News
Area of Research
- (-) Computational Engineering (1)
- Advanced Manufacturing (5)
- Biological Systems (9)
- Biology and Environment (4)
- Biology and Soft Matter (3)
- Building Technologies (3)
- Chemical and Engineering Materials (2)
- Chemistry and Physics at Interfaces (5)
- Clean Energy (67)
- Climate and Environmental Systems (5)
- Computational Biology (3)
- Computational Chemistry (4)
- Computer Science (3)
- Earth Sciences (1)
- Energy Frontier Research Centers (6)
- Energy Sciences (2)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (8)
- Fusion Energy (2)
- Geographic Information Science and Technology (1)
- Materials (66)
- Materials for Computing (7)
- Materials Synthesis from Atoms to Systems (8)
- Materials Under Extremes (5)
- National Security (3)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (22)
- Nuclear Science and Technology (8)
- Nuclear Systems Technology (1)
- Quantum Condensed Matter (2)
- Quantum information Science (1)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (46)
- Transportation Systems (5)
News Type
Media Contacts
Researchers studying iron-based superconductors are combining novel electronic structure algorithms with the high-performance computing power of the Department of Energy’s Titan supercomputer at Oak Ridge National Laboratory to predict spin dynamics, or the ways electrons orient and correlate their spins in a material.