Filter News
Area of Research
- (-) Neutron Science (14)
- (-) Nuclear Science and Technology (3)
- (-) Supercomputing (41)
- Advanced Manufacturing (1)
- Biology and Environment (16)
- Clean Energy (47)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (3)
- Materials (32)
- Materials for Computing (4)
- National Security (11)
- Quantum information Science (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Biomedical (9)
- (-) Climate Change (3)
- (-) Computer Science (33)
- (-) Energy Storage (7)
- (-) Molten Salt (1)
- (-) Quantum Computing (5)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (13)
- Big Data (2)
- Bioenergy (7)
- Biology (7)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (7)
- Decarbonization (2)
- Environment (5)
- Exascale Computing (7)
- Frontier (13)
- Fusion (2)
- Grid (3)
- High-Performance Computing (12)
- Isotopes (3)
- Machine Learning (5)
- Materials (13)
- Materials Science (16)
- Microscopy (5)
- Nanotechnology (10)
- National Security (5)
- Neutron Science (40)
- Nuclear Energy (8)
- Partnerships (1)
- Physics (11)
- Quantum Science (13)
- Security (4)
- Simulation (1)
- Space Exploration (3)
- Summit (14)
- Sustainable Energy (6)
- Transformational Challenge Reactor (1)
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
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.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
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.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
To better understand how the novel coronavirus behaves and how it can be stopped, scientists have completed a three-dimensional map that reveals the location of every atom in an enzyme molecule critical to SARS-CoV-2 reproduction.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.