Filter News
Area of Research
- (-) Computer Science (4)
- (-) National Security (8)
- Advanced Manufacturing (3)
- Biology and Environment (34)
- Clean Energy (41)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (2)
- Materials (42)
- Materials for Computing (7)
- Neutron Science (13)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (37)
News Type
News Topics
- (-) Big Data (10)
- (-) Coronavirus (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (17)
- Bioenergy (5)
- Biology (5)
- Biomedical (3)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (33)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (3)
- Environment (6)
- Exascale Computing (2)
- Frontier (1)
- Fusion (1)
- Grid (7)
- High-Performance Computing (6)
- Machine Learning (16)
- Materials (2)
- Materials Science (4)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (4)
- Security (11)
- Simulation (1)
- Summit (3)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
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.
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.
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.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.