Filter News
Area of Research
- (-) Supercomputing (6)
- Biology and Environment (1)
- Clean Energy (24)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Materials (6)
- Materials for Computing (11)
- National Security (1)
- Neutron Science (5)
- Quantum information Science (3)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Machine Learning (1)
- (-) Nanotechnology (1)
- (-) Quantum Science (3)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (3)
- Biology (1)
- Biomedical (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (15)
- Coronavirus (2)
- Cybersecurity (2)
- Energy Storage (2)
- Environment (6)
- Frontier (3)
- High-Performance Computing (10)
- Materials Science (3)
- Microscopy (2)
- National Security (1)
- Neutron Science (2)
- Physics (1)
- Quantum Computing (5)
- Security (1)
- Summit (5)
- Sustainable Energy (1)
Media Contacts
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
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.