Filter News
Area of Research
- (-) Supercomputing (66)
- Advanced Manufacturing (22)
- Biology and Environment (30)
- Building Technologies (1)
- Clean Energy (102)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (75)
- Materials for Computing (14)
- National Security (22)
- Neutron Science (19)
- Nuclear Science and Technology (13)
- Quantum information Science (4)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Cybersecurity (8)
- (-) Isotopes (2)
- (-) Microscopy (7)
- (-) Polymers (2)
- (-) Space Exploration (3)
- (-) Summit (43)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (20)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (24)
- Frontier (29)
- Fusion (1)
- Grid (5)
- High-Performance Computing (40)
- Machine Learning (14)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (8)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (15)
- Software (1)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
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.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
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.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
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.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.