Filter News
Area of Research
- (-) National Security (16)
- (-) Neutron Science (45)
- (-) Supercomputing (45)
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (33)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (62)
- Materials Characterization (1)
- Materials for Computing (7)
- Materials Under Extremes (1)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Artificial Intelligence (18)
- (-) Biomedical (8)
- (-) Composites (1)
- (-) Computer Science (36)
- (-) Cybersecurity (13)
- (-) Materials Science (15)
- (-) Microscopy (5)
- (-) Neutron Science (40)
- (-) Security (7)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (8)
- Biology (7)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Coronavirus (8)
- Decarbonization (2)
- Energy Storage (7)
- Environment (6)
- Exascale Computing (7)
- Frontier (13)
- Fusion (2)
- Grid (4)
- High-Performance Computing (12)
- Isotopes (1)
- Machine Learning (8)
- Materials (13)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (11)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (12)
- Quantum Computing (5)
- Quantum Science (13)
- Simulation (1)
- Space Exploration (1)
- Summit (14)
- Sustainable Energy (6)
- Transportation (4)
Media Contacts
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 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
The Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
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.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
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 Spallation Neutron Source — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Much of the work — part of the facility’s Proton Power Upgrade project — will involve building a connector between the accelerator and the planned Second Target Station.
After a highly lauded research campaign that successfully redesigned a hepatitis C drug into one of the leading drug treatments for COVID-19, scientists at ORNL are now turning their drug design approach toward cancer.
The Spallation Neutron Source at the Department of Energy's Oak Ridge National Laboratory set a world record when its particle accelerator beam operating power reached 1.7 megawatts, substantially improving on the facility’s original design capability.