Filter News
Area of Research
- (-) Neutron Science (17)
- (-) Supercomputing (53)
- Advanced Manufacturing (19)
- Biology and Environment (29)
- Building Technologies (1)
- Clean Energy (77)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (46)
- Materials for Computing (7)
- Mathematics (1)
- National Security (13)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (5)
- Sensors and Controls (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (17)
- (-) Climate Change (5)
- (-) Frontier (16)
- (-) Fusion (2)
- (-) Quantum Science (19)
- (-) Security (4)
- (-) Space Exploration (3)
- Big Data (7)
- Bioenergy (8)
- Biology (8)
- Biomedical (15)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (5)
- Composites (1)
- Computer Science (50)
- Coronavirus (10)
- Critical Materials (3)
- Cybersecurity (7)
- Decarbonization (3)
- Energy Storage (11)
- Environment (12)
- Exascale Computing (11)
- Grid (4)
- High-Performance Computing (20)
- Isotopes (1)
- Machine Learning (7)
- Materials (19)
- Materials Science (20)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (13)
- National Security (5)
- Neutron Science (66)
- Nuclear Energy (5)
- Partnerships (1)
- Physics (12)
- Polymers (2)
- Quantum Computing (9)
- Simulation (5)
- Software (1)
- Summit (21)
- Sustainable Energy (8)
- Transportation (5)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
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.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
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.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.