Filter News
Area of Research
- (-) Supercomputing (5)
- Advanced Manufacturing (4)
- Biology and Environment (9)
- Building Technologies (2)
- Clean Energy (52)
- Computer Science (2)
- Energy Sciences (2)
- Fusion and Fission (3)
- Fusion Energy (8)
- Isotopes (1)
- Materials (16)
- Materials for Computing (4)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (4)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (1)
- (-) Energy Storage (1)
- (-) Exascale Computing (1)
- (-) Frontier (1)
- (-) Fusion (1)
- (-) Sustainable Energy (1)
- (-) Transportation (1)
- Artificial Intelligence (1)
- Big Data (4)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (16)
- Coronavirus (2)
- Critical Materials (3)
- Environment (4)
- High-Performance Computing (3)
- Machine Learning (1)
- Materials (1)
- Materials Science (1)
- Nanotechnology (1)
- Nuclear Energy (1)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (1)
- Space Exploration (1)
- Summit (6)
Media Contacts
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.