Filter News
Area of Research
- (-) Supercomputing (8)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (16)
- Computer Science (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (1)
- Materials (9)
- Materials for Computing (5)
- National Security (2)
- Neutron Science (7)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Cybersecurity (2)
- (-) Machine Learning (1)
- (-) Materials Science (3)
- (-) Quantum Science (2)
- (-) Sustainable Energy (1)
- Artificial Intelligence (3)
- Biology (1)
- Biomedical (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (14)
- Coronavirus (1)
- Energy Storage (2)
- Environment (5)
- Frontier (3)
- High-Performance Computing (8)
- Microscopy (2)
- Nanotechnology (1)
- National Security (1)
- Neutron Science (2)
- Physics (1)
- Quantum Computing (4)
- Security (1)
- Summit (5)
- Transportation (1)
Media Contacts
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.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
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.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.