Filter News
Area of Research
- (-) Computer Science (2)
- (-) National Security (5)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (30)
- Climate and Environmental Systems (1)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (4)
- Isotopes (3)
- Materials (25)
- Materials for Computing (5)
- Neutron Science (12)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (21)
News Topics
- (-) Big Data (2)
- (-) Climate Change (1)
- (-) Energy Storage (2)
- (-) Nanotechnology (1)
- (-) Nuclear Energy (1)
- (-) Summit (1)
- Artificial Intelligence (1)
- Computer Science (5)
- Coronavirus (1)
- Cybersecurity (3)
- Environment (1)
- Grid (1)
- Machine Learning (1)
- Materials Science (4)
- National Security (2)
- Neutron Science (2)
- Security (3)
- Sustainable Energy (1)
Media Contacts
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Two staff members at the Department of Energy’s Oak Ridge National Laboratory have received prestigious HENAAC and Luminary Awards from Great Minds in STEM, a nonprofit organization that focuses on promoting STEM careers in underserved
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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
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.