Filter News
Area of Research
- (-) Climate and Environmental Systems (6)
- (-) National Security (25)
- (-) Supercomputing (70)
- Advanced Manufacturing (2)
- Biology and Environment (105)
- Biology and Soft Matter (1)
- Building Technologies (3)
- Clean Energy (139)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (12)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (100)
- Materials for Computing (9)
- Mathematics (1)
- Neutron Science (31)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Big Data (22)
- (-) Buildings (4)
- (-) Climate Change (22)
- (-) Environment (30)
- (-) Grid (11)
- (-) Mathematics (1)
- (-) Nanotechnology (11)
- (-) Nuclear Energy (8)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (45)
- Bioenergy (11)
- Biology (15)
- Biomedical (17)
- Biotechnology (3)
- Chemical Sciences (5)
- Computer Science (105)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- High-Performance Computing (40)
- Isotopes (1)
- Machine Learning (23)
- Materials (16)
- Materials Science (17)
- Mercury (1)
- Microscopy (7)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
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.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
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.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
OAK RIDGE, Tenn., March 11, 2019—An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
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.