Filter News
Area of Research
- (-) Fusion Energy (6)
- (-) Neutron Science (18)
- (-) Supercomputing (35)
- Advanced Manufacturing (6)
- Biology and Environment (46)
- Clean Energy (81)
- Climate and Environmental Systems (4)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (38)
- Materials for Computing (7)
- Mathematics (1)
- National Security (15)
- Nuclear Science and Technology (17)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (2)
News Type
News Topics
- (-) Composites (1)
- (-) Coronavirus (10)
- (-) Environment (10)
- (-) Grid (3)
- (-) Machine Learning (6)
- (-) Nuclear Energy (10)
- (-) Quantum Science (17)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (8)
- Artificial Intelligence (15)
- Big Data (6)
- Bioenergy (8)
- Biology (8)
- Biomedical (14)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (5)
- Climate Change (5)
- Computer Science (49)
- Critical Materials (3)
- Cybersecurity (7)
- Decarbonization (2)
- Energy Storage (10)
- Exascale Computing (8)
- Frontier (14)
- Fusion (9)
- High-Performance Computing (15)
- Isotopes (1)
- Materials (17)
- Materials Science (21)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (12)
- National Security (5)
- Neutron Science (63)
- Partnerships (1)
- Physics (12)
- Polymers (2)
- Quantum Computing (9)
- Simulation (2)
- Space Exploration (3)
- Summit (20)
- Sustainable Energy (7)
- Transportation (5)
Media Contacts
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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 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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
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.