Filter News
Area of Research
- (-) Materials (30)
- (-) Nuclear Science and Technology (2)
- (-) Supercomputing (27)
- Advanced Manufacturing (2)
- Biology and Environment (14)
- Clean Energy (26)
- Computer Science (2)
- Fusion and Fission (1)
- Materials for Computing (2)
- National Security (15)
- Neutron Science (41)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (14)
- (-) Bioenergy (12)
- (-) Cybersecurity (6)
- (-) Machine Learning (5)
- (-) Neutron Science (23)
- 3-D Printing/Advanced Manufacturing (16)
- Advanced Reactors (3)
- Big Data (1)
- Biology (7)
- Biomedical (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (20)
- Climate Change (7)
- Composites (3)
- Computer Science (33)
- Coronavirus (7)
- Critical Materials (8)
- Decarbonization (5)
- Energy Storage (20)
- Environment (10)
- Exascale Computing (7)
- Frontier (12)
- Fusion (3)
- Grid (5)
- High-Performance Computing (13)
- Isotopes (6)
- ITER (1)
- Materials (41)
- Materials Science (38)
- Microscopy (13)
- Molten Salt (2)
- Nanotechnology (23)
- National Security (5)
- Net Zero (1)
- Nuclear Energy (9)
- Partnerships (8)
- Physics (18)
- Polymers (6)
- Quantum Computing (5)
- Quantum Science (17)
- Renewable Energy (1)
- Security (4)
- Simulation (1)
- Space Exploration (3)
- Summit (14)
- Sustainable Energy (9)
- Transformational Challenge Reactor (2)
- Transportation (5)
Media Contacts
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
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
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.
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.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Eight ORNL scientists are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.