Filter News
Area of Research
- (-) Neutron Science (17)
- (-) Supercomputing (57)
- Advanced Manufacturing (3)
- Biology and Environment (29)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (38)
- Materials for Computing (6)
- National Security (20)
- Nuclear Science and Technology (12)
- Quantum information Science (2)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (15)
- (-) Bioenergy (7)
- (-) Climate Change (3)
- (-) Computer Science (34)
- (-) Environment (7)
- (-) Isotopes (1)
- (-) National Security (5)
- (-) Nuclear Energy (3)
- (-) Quantum Science (15)
- (-) Security (4)
- (-) Summit (15)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (3)
- Biology (7)
- Biomedical (9)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (7)
- Decarbonization (3)
- Energy Storage (8)
- Exascale Computing (10)
- Frontier (15)
- Fusion (1)
- Grid (4)
- High-Performance Computing (17)
- Machine Learning (6)
- Materials (15)
- Materials Science (16)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (11)
- Neutron Science (43)
- Partnerships (1)
- Physics (11)
- Quantum Computing (5)
- Simulation (4)
- Software (1)
- Space Exploration (1)
- Sustainable Energy (7)
- Transportation (3)
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
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.
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 Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
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.
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.
Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.