Filter News
Area of Research
- (-) Neutron Science (13)
- (-) Supercomputing (35)
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Clean Energy (36)
- Computational Engineering (1)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (42)
- Materials Characterization (2)
- Materials for Computing (5)
- Materials Under Extremes (1)
- National Security (11)
- Nuclear Science and Technology (7)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (13)
- (-) Composites (1)
- (-) Grid (3)
- (-) Machine Learning (5)
- (-) Materials (13)
- (-) Nuclear Energy (2)
- (-) Security (4)
- (-) Summit (14)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (2)
- Bioenergy (7)
- Biology (7)
- Biomedical (8)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (32)
- Coronavirus (8)
- Cybersecurity (7)
- Decarbonization (2)
- Energy Storage (7)
- Environment (5)
- Exascale Computing (7)
- Frontier (13)
- Fusion (1)
- High-Performance Computing (12)
- Isotopes (1)
- Materials Science (15)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (5)
- Neutron Science (40)
- Partnerships (1)
- Physics (11)
- Quantum Computing (5)
- Quantum Science (13)
- Simulation (1)
- Space Exploration (1)
- Sustainable Energy (6)
- Transportation (3)
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
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.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
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 Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
ORNL’s Debangshu Mukherjee has been named an npj Computational Materials “Reviewer of the Year.”
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.