Filter News
Area of Research
- (-) Supercomputing (65)
- Advanced Manufacturing (3)
- Biology and Environment (19)
- Building Technologies (1)
- Clean Energy (58)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotopes (1)
- Materials (41)
- Materials for Computing (10)
- Mathematics (1)
- National Security (14)
- Neutron Science (12)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Sensors and Controls (1)
News Type
News Topics
- (-) Computer Science (47)
- (-) Fusion (1)
- (-) Grid (3)
- (-) Machine Learning (6)
- (-) Molten Salt (1)
- (-) Polymers (2)
- (-) Quantum Science (13)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (5)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- High-Performance Computing (14)
- Isotopes (1)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (4)
- Quantum Computing (9)
- Security (4)
- Simulation (2)
- Space Exploration (2)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
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.
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.
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.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.