Filter News
Area of Research
- (-) Clean Energy (11)
- (-) Energy Frontier Research Centers (1)
- (-) Supercomputing (20)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Computational Engineering (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (24)
- Materials for Computing (2)
- National Security (2)
- Neutron Science (11)
- Nuclear Science and Technology (7)
News Topics
- (-) Nanotechnology (8)
- (-) Nuclear Energy (5)
- (-) Summit (14)
- 3-D Printing/Advanced Manufacturing (29)
- Advanced Reactors (3)
- Artificial Intelligence (15)
- Big Data (2)
- Bioenergy (15)
- Biology (7)
- Biomedical (7)
- Biotechnology (3)
- Buildings (8)
- Chemical Sciences (10)
- Clean Water (1)
- Climate Change (8)
- Composites (5)
- Computer Science (33)
- Coronavirus (8)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (10)
- Energy Storage (28)
- Environment (15)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (12)
- Fusion (1)
- Grid (11)
- High-Performance Computing (12)
- Isotopes (1)
- Machine Learning (8)
- Materials (21)
- Materials Science (16)
- Mercury (1)
- Microscopy (8)
- Molten Salt (1)
- National Security (7)
- Net Zero (1)
- Neutron Science (10)
- Partnerships (8)
- Physics (4)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (10)
- Renewable Energy (1)
- Security (6)
- Simulation (2)
- Space Exploration (1)
- Sustainable Energy (24)
- Transformational Challenge Reactor (3)
- Transportation (18)
Media Contacts
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
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.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
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.
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.