Filter News
Area of Research
- (-) Computer Science (12)
- (-) Neutron Science (5)
- Advanced Manufacturing (4)
- Biology and Environment (17)
- Building Technologies (2)
- Clean Energy (52)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (2)
- Isotopes (1)
- Materials (28)
- Materials for Computing (11)
- Mathematics (1)
- National Security (4)
- Quantum information Science (4)
- Supercomputing (28)
News Topics
- (-) Computer Science (14)
- (-) Machine Learning (3)
- (-) Microscopy (1)
- (-) Quantum Science (3)
- (-) Sustainable Energy (2)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (4)
- Bioenergy (1)
- Biology (2)
- Biomedical (2)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (1)
- Cybersecurity (1)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (1)
- Fusion (1)
- Grid (2)
- High-Performance Computing (2)
- Materials (4)
- Materials Science (8)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (32)
- Nuclear Energy (1)
- Physics (2)
- Security (1)
- Space Exploration (2)
- Summit (1)
- 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 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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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.
Matthew R. Ryder, a researcher at the Department of Energy’s Oak Ridge National Laboratory, has been named the 2020 Foresight Fellow in Molecular-Scale Engineering.
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.