Filter News
Area of Research
- (-) Computer Science (16)
- (-) Fusion Energy (4)
- Advanced Manufacturing (22)
- Biological Systems (2)
- Biology and Environment (73)
- Building Technologies (2)
- Clean Energy (134)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (107)
- Materials Characterization (1)
- Materials for Computing (20)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (25)
- Neutron Science (40)
- Nuclear Science and Technology (9)
- Quantum information Science (7)
- Supercomputing (124)
- Transportation Systems (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Computer Science (17)
- (-) Materials Science (3)
- (-) Summit (2)
- Advanced Reactors (7)
- Artificial Intelligence (6)
- Big Data (4)
- Buildings (1)
- Cybersecurity (1)
- Energy Storage (2)
- Environment (1)
- Exascale Computing (1)
- Frontier (1)
- Fusion (15)
- Grid (2)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials (1)
- Nuclear Energy (10)
- Quantum Science (3)
- Sustainable Energy (4)
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.
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 power systems and identify electrical grid disruptions, such as
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
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.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
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.
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.