Filter News
Area of Research
- (-) Neutron Science (12)
- (-) Supercomputing (37)
- Advanced Manufacturing (4)
- Biology and Environment (26)
- Clean Energy (52)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (37)
- Materials for Computing (5)
- National Security (8)
- Nuclear Science and Technology (8)
- Quantum information Science (1)
News Topics
- (-) Composites (1)
- (-) Environment (5)
- (-) Grid (3)
- (-) Machine Learning (5)
- (-) Microscopy (5)
- (-) Nuclear Energy (2)
- (-) Quantum Science (13)
- (-) Summit (14)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (13)
- Big Data (2)
- Bioenergy (7)
- Biology (7)
- Biomedical (8)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (32)
- Coronavirus (8)
- Cybersecurity (7)
- Decarbonization (2)
- Energy Storage (7)
- Exascale Computing (7)
- Frontier (13)
- Fusion (1)
- High-Performance Computing (12)
- Isotopes (1)
- Materials (13)
- Materials Science (15)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (5)
- Neutron Science (40)
- Partnerships (1)
- Physics (11)
- Quantum Computing (5)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Transportation (3)
Media Contacts
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
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.
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.
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.