Filter News
Area of Research
- (-) Neutron Science (11)
- (-) Supercomputing (22)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (15)
- Clean Energy (38)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (3)
- Materials (9)
- Materials for Computing (5)
- National Security (3)
- Nuclear Science and Technology (6)
News Type
News Topics
- (-) Artificial Intelligence (13)
- (-) Biomedical (13)
- (-) Clean Water (1)
- (-) Decarbonization (1)
- (-) Grid (3)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (7)
- Big Data (8)
- Bioenergy (7)
- Biology (3)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (3)
- Computer Science (55)
- Coronavirus (11)
- Cybersecurity (5)
- Energy Storage (5)
- Environment (12)
- Exascale Computing (4)
- Frontier (5)
- Fusion (1)
- High-Performance Computing (10)
- Isotopes (1)
- Machine Learning (5)
- Materials (4)
- Materials Science (18)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (41)
- Nuclear Energy (3)
- Physics (8)
- Polymers (1)
- Quantum Computing (4)
- Quantum Science (15)
- Security (3)
- Space Exploration (1)
- Summit (22)
- Sustainable Energy (6)
Media Contacts
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.
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.
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.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
To better understand how the novel coronavirus behaves and how it can be stopped, scientists have completed a three-dimensional map that reveals the location of every atom in an enzyme molecule critical to SARS-CoV-2 reproduction.