Filter News
Area of Research
- (-) Neutron Science (23)
- (-) Supercomputing (55)
- Advanced Manufacturing (4)
- Biology and Environment (43)
- Clean Energy (59)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (9)
- Energy Frontier Research Centers (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (70)
- Materials for Computing (14)
- Mathematics (1)
- National Security (8)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
News Type
News Topics
- (-) Artificial Intelligence (15)
- (-) Composites (1)
- (-) Environment (10)
- (-) Isotopes (1)
- (-) Microscopy (6)
- (-) Nanotechnology (12)
- (-) Polymers (2)
- (-) Quantum Science (17)
- (-) Space Exploration (3)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Big Data (6)
- Bioenergy (8)
- Biology (8)
- Biomedical (14)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (5)
- Climate Change (5)
- Computer Science (48)
- Coronavirus (10)
- Critical Materials (3)
- Cybersecurity (7)
- Decarbonization (2)
- Energy Storage (10)
- Exascale Computing (8)
- Frontier (14)
- Fusion (2)
- Grid (3)
- High-Performance Computing (15)
- Machine Learning (6)
- Materials (17)
- Materials Science (19)
- Molten Salt (1)
- National Security (5)
- Neutron Science (63)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (12)
- Quantum Computing (9)
- Security (4)
- Simulation (2)
- Sustainable Energy (7)
- Transportation (5)
Media Contacts
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
Researchers from NASA’s Jet Propulsion Laboratory and Oak Ridge National Laboratory successfully created amorphous ice, similar to ice in interstellar space and on icy worlds in our solar system. They documented that its disordered atomic behavior is unlike any ice on Earth.
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.
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.