Filter News
Area of Research
- (-) Supercomputing (23)
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (38)
- Clean Energy (44)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion Energy (1)
- Isotopes (2)
- Materials (24)
- Materials for Computing (4)
- Mathematics (1)
- National Security (6)
- Neutron Science (8)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
News Type
News Topics
- (-) Big Data (5)
- (-) Bioenergy (1)
- (-) Biomedical (5)
- (-) Climate Change (3)
- (-) Coronavirus (3)
- (-) Environment (5)
- (-) Exascale Computing (4)
- (-) Frontier (4)
- (-) Physics (1)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Biology (2)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (23)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (4)
- Fusion (1)
- Grid (1)
- High-Performance Computing (10)
- Isotopes (1)
- Machine Learning (3)
- Materials (6)
- Materials Science (4)
- Microscopy (1)
- Molten Salt (1)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (1)
- Nuclear Energy (2)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (4)
- Security (1)
- Simulation (4)
- Software (1)
- Space Exploration (2)
- Summit (7)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
Using the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.