Filter News
Area of Research
- (-) Computer Science (12)
- (-) National Security (5)
- Advanced Manufacturing (2)
- Biology and Environment (10)
- Building Technologies (1)
- Clean Energy (35)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Fusion Energy (7)
- Isotopes (1)
- Materials (9)
- Materials for Computing (3)
- Mathematics (1)
- Neutron Science (4)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (25)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (5)
- (-) Big Data (6)
- (-) Computer Science (14)
- (-) Grid (3)
- (-) Machine Learning (3)
- (-) Summit (2)
- Bioenergy (1)
- Biology (1)
- Buildings (1)
- Climate Change (1)
- Coronavirus (1)
- Cybersecurity (3)
- Energy Storage (1)
- Environment (2)
- Exascale Computing (1)
- Fusion (1)
- High-Performance Computing (2)
- Materials Science (1)
- National Security (4)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (1)
- Quantum Science (1)
- Security (2)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing Symposium.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
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
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
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.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
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.