Filter News
Area of Research
- (-) Materials (59)
- (-) Nuclear Systems Modeling, Simulation and Validation (1)
- (-) Supercomputing (82)
- Advanced Manufacturing (4)
- Biology and Environment (107)
- Biology and Soft Matter (1)
- Clean Energy (92)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (15)
- Isotopes (1)
- Materials for Computing (6)
- Mathematics (1)
- National Security (32)
- Neutron Science (103)
- Nuclear Science and Technology (22)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (38)
- (-) Big Data (19)
- (-) Biology (14)
- (-) Climate Change (21)
- (-) Fusion (8)
- (-) Grid (9)
- (-) Neutron Science (42)
- 3-D Printing/Advanced Manufacturing (26)
- Bioenergy (18)
- Biomedical (22)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Composites (9)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (15)
- Cybersecurity (8)
- Decarbonization (11)
- Energy Storage (37)
- Environment (34)
- Exascale Computing (22)
- Frontier (28)
- High-Performance Computing (40)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (14)
- Materials (79)
- Materials Science (83)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Nuclear Energy (21)
- Partnerships (11)
- Physics (34)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (3)
- Transportation (19)
Media Contacts
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
Nuclear scientists at Oak Ridge National Laboratory have established a Nuclear Quality Assurance-1 program for a software product designed to simulate today’s commercial nuclear reactors – removing a significant barrier for industry adoption of the technology.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Using the Titan supercomputer and the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory, scientists have created the most accurate 3D model yet of an intrinsically disordered protein, revealing the ensemble of its atomic-level structures.
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.