Filter News
Area of Research
- (-) Computer Science (5)
- (-) Nuclear Systems Modeling, Simulation and Validation (2)
- Advanced Manufacturing (6)
- Biology and Environment (53)
- Biology and Soft Matter (1)
- Clean Energy (66)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (45)
- Fusion Energy (16)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (113)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (18)
- Neutron Science (30)
- Nuclear Science and Technology (40)
- Supercomputing (76)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (4)
- (-) Materials Science (1)
- (-) Nuclear Energy (1)
- Artificial Intelligence (6)
- Buildings (1)
- Computer Science (15)
- Cybersecurity (1)
- Energy Storage (2)
- Environment (1)
- Exascale Computing (1)
- Grid (2)
- High-Performance Computing (2)
- Machine Learning (4)
- Quantum Science (3)
- Summit (1)
- Sustainable Energy (2)
Media Contacts
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.
Researchers at Oak Ridge National Laboratory are developing a first-of-a-kind toolkit drawing on video game development software to visualize radiation data.
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
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.
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.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool