Filter News
Area of Research
- (-) Computer Science (4)
- (-) Materials Under Extremes (1)
- Advanced Manufacturing (22)
- Biology and Environment (102)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (182)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (108)
- Materials Characterization (1)
- Materials for Computing (16)
- Mathematics (1)
- National Security (16)
- Neutron Science (35)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (45)
- Transportation Systems (1)
News Topics
- (-) Environment (1)
- (-) Grid (2)
- (-) Materials Science (2)
- Artificial Intelligence (6)
- Big Data (4)
- Buildings (1)
- Computer Science (15)
- Cybersecurity (1)
- Energy Storage (2)
- Exascale Computing (1)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials (1)
- Quantum Science (3)
- Summit (1)
- Sustainable Energy (2)
Media Contacts
Anne Campbell, an R&D associate in ORNL’s Materials Science and Technology Division since 2016, has been selected as an associate editor of the Journal of Nuclear Materials.
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
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.
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.
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns