Filter News
Area of Research
- (-) National Security (33)
- (-) Neutron Science (29)
- Advanced Manufacturing (7)
- Biology and Environment (83)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (131)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (9)
- Isotopes (2)
- Materials (92)
- Materials for Computing (13)
- Mathematics (1)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (2)
- Supercomputing (87)
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (18)
- (-) Big Data (8)
- (-) Climate Change (5)
- (-) Grid (6)
- (-) Nanotechnology (11)
- (-) Physics (10)
- (-) Security (12)
- (-) Sustainable Energy (4)
- 3-D Printing/Advanced Manufacturing (8)
- Bioenergy (9)
- Biology (10)
- Biomedical (14)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (2)
- Composites (1)
- Computer Science (31)
- Coronavirus (10)
- Cybersecurity (19)
- Decarbonization (4)
- Energy Storage (8)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (2)
- Fusion (2)
- High-Performance Computing (6)
- Machine Learning (15)
- Materials (16)
- Materials Science (24)
- Mathematics (1)
- Microscopy (3)
- National Security (35)
- Neutron Science (101)
- Nuclear Energy (7)
- Partnerships (5)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (8)
- Simulation (1)
- Space Exploration (3)
- Summit (7)
- Transportation (7)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
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.