Filter News
Area of Research
- (-) Nuclear Science and Technology (7)
- (-) Supercomputing (15)
- Biological Systems (1)
- Biology and Environment (20)
- Clean Energy (26)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (4)
- Isotopes (18)
- Materials (15)
- Materials for Computing (2)
- National Security (8)
- Neutron Science (11)
News Topics
- (-) Advanced Reactors (4)
- (-) Biomedical (7)
- (-) Energy Storage (1)
- (-) Isotopes (3)
- (-) Machine Learning (7)
- (-) Molten Salt (1)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (21)
- Big Data (14)
- Bioenergy (3)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (3)
- Environment (13)
- Exascale Computing (14)
- Frontier (14)
- Fusion (6)
- Grid (1)
- High-Performance Computing (22)
- Materials (4)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (18)
- Physics (5)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (11)
- Software (1)
- Summit (22)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (3)
Media Contacts
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.