Filter News
Area of Research
- (-) Electricity and Smart Grid (1)
- (-) National Security (4)
- (-) Supercomputing (9)
- Biology and Environment (6)
- Clean Energy (19)
- Computational Engineering (1)
- Computer Science (7)
- Materials (9)
- Materials for Computing (5)
- Neutron Science (2)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Sensors and Controls (1)
News Topics
- (-) Big Data (5)
- (-) Coronavirus (3)
- (-) Grid (3)
- (-) Machine Learning (1)
- (-) Nanotechnology (1)
- (-) Quantum Science (3)
- (-) Simulation (1)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (17)
- Critical Materials (3)
- Cybersecurity (1)
- Energy Storage (2)
- Environment (4)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (1)
- Nuclear Energy (1)
- Polymers (2)
- Quantum Computing (4)
- Security (1)
- Space Exploration (1)
- Summit (6)
- Sustainable Energy (2)
- Transportation (2)
Media Contacts
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
A study by Oak Ridge National Laboratory researchers has demonstrated how satellites could enable more efficient, secure quantum networks.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
Oak Ridge National Laboratory’s high-resolution population distribution database, LandScan USA, became permanently available to researchers in time to aid the response to the novel coronavirus pandemic.
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.