Filter News
Area of Research
- (-) Supercomputing (68)
- Advanced Manufacturing (9)
- Biology and Environment (34)
- Clean Energy (162)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (15)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (116)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (33)
- Neutron Science (44)
- Nuclear Science and Technology (18)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (36)
- (-) Cybersecurity (8)
- (-) Energy Storage (8)
- (-) Materials Science (16)
- (-) Space Exploration (3)
- (-) Transportation (6)
- 3-D Printing/Advanced Manufacturing (5)
- Big Data (20)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Decarbonization (5)
- Environment (21)
- Exascale Computing (24)
- Frontier (29)
- Fusion (1)
- Grid (5)
- High-Performance Computing (40)
- Isotopes (2)
- Machine Learning (14)
- Materials (15)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (15)
- Software (1)
- Summit (43)
- Sustainable Energy (10)
Media Contacts
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.
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.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
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.
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.