Filter News
Area of Research
- (-) Advanced Manufacturing (1)
- (-) Nuclear Systems Modeling, Simulation and Validation (1)
- (-) Supercomputing (46)
- Biology and Environment (42)
- Biology and Soft Matter (1)
- Clean Energy (46)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (4)
- Fusion Energy (6)
- Materials (8)
- Materials for Computing (3)
- Mathematics (1)
- National Security (19)
- Neutron Science (5)
- Nuclear Science and Technology (11)
- Quantum information Science (7)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (3)
- (-) Big Data (17)
- (-) Climate Change (14)
- (-) Grid (1)
- (-) Machine Learning (8)
- (-) Quantum Science (13)
- 3-D Printing/Advanced Manufacturing (16)
- Artificial Intelligence (22)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Composites (3)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- Fusion (2)
- High-Performance Computing (23)
- Materials (11)
- Materials Science (14)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (5)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (3)
- Summit (27)
- Sustainable Energy (7)
- Transportation (4)
Media Contacts
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
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.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
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.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
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.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.
The Department of Energy has selected Oak Ridge National Laboratory to lead a collaboration charged with developing quantum technologies that will usher in a new era of innovation.