Filter News
Area of Research
- (-) Computer Science (7)
- (-) Neutron Science (15)
- Advanced Manufacturing (2)
- Biology and Environment (34)
- Clean Energy (68)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (8)
- Materials (17)
- Materials for Computing (4)
- National Security (23)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (64)
News Topics
- (-) Advanced Reactors (1)
- (-) Coronavirus (8)
- (-) Grid (2)
- (-) Machine Learning (6)
- (-) Summit (7)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (6)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (26)
- Cybersecurity (2)
- Decarbonization (2)
- Energy Storage (8)
- Environment (9)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Materials (14)
- Materials Science (24)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (100)
- Nuclear Energy (3)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (9)
- Security (2)
- Space Exploration (3)
- Sustainable Energy (4)
- Transportation (5)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
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.
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.
Experiments led by researchers at ORNL have determined that several hepatitis C drugs can inhibit the SARS-CoV-2 main protease, a crucial protein enzyme that enables the novel coronavirus to reproduce.
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.