Filter News
Area of Research
- (-) Supercomputing (87)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (54)
- Clean Energy (54)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (44)
- Materials for Computing (3)
- National Security (20)
- Neutron Science (17)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (36)
- (-) Bioenergy (9)
- (-) Frontier (28)
- (-) Nuclear Energy (4)
- (-) Quantum Computing (19)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Big Data (19)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (22)
- Fusion (1)
- Grid (5)
- High-Performance Computing (38)
- Isotopes (1)
- Machine Learning (14)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the