Filter News
Area of Research
- (-) Supercomputing (19)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (20)
- Building Technologies (2)
- Clean Energy (68)
- Computational Engineering (1)
- Computer Science (3)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (4)
- Isotopes (1)
- Materials (28)
- Materials for Computing (9)
- Mathematics (1)
- National Security (8)
- Neutron Science (12)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (8)
- (-) Bioenergy (4)
- (-) Microscopy (4)
- (-) Nanotechnology (5)
- (-) Nuclear Energy (1)
- (-) Sustainable Energy (4)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (2)
- Biology (3)
- Biomedical (6)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (24)
- Coronavirus (6)
- Critical Materials (1)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (3)
- Environment (6)
- Exascale Computing (3)
- Frontier (8)
- Fusion (1)
- Grid (1)
- High-Performance Computing (12)
- Isotopes (1)
- Machine Learning (4)
- Materials (6)
- Materials Science (5)
- Molten Salt (1)
- National Security (3)
- Neutron Science (6)
- Physics (1)
- Polymers (1)
- Quantum Computing (7)
- Quantum Science (8)
- Security (1)
- Simulation (1)
- Summit (11)
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.
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.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
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.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.