Filter News
Area of Research
- (-) Nuclear Science and Technology (20)
- (-) Supercomputing (33)
- Biological Systems (1)
- Biology and Environment (16)
- Clean Energy (14)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (22)
- Fusion Energy (4)
- Isotopes (9)
- Materials (16)
- Materials for Computing (3)
- National Security (6)
- Neutron Science (10)
News Type
News Topics
- (-) Biomedical (8)
- (-) Coronavirus (8)
- (-) Frontier (17)
- (-) Nuclear Energy (21)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (5)
- Artificial Intelligence (24)
- Big Data (15)
- Bioenergy (4)
- Biology (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (13)
- Computer Science (52)
- Cybersecurity (5)
- Decarbonization (4)
- Energy Storage (4)
- Environment (15)
- Exascale Computing (16)
- Fusion (7)
- Grid (2)
- High-Performance Computing (28)
- Isotopes (4)
- Machine Learning (9)
- Materials (9)
- Materials Science (13)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (2)
- Nanotechnology (7)
- National Security (4)
- Net Zero (1)
- Neutron Science (8)
- Physics (6)
- Quantum Computing (11)
- Quantum Science (11)
- Security (2)
- Simulation (13)
- Software (1)
- Summit (23)
- Sustainable Energy (6)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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.
Oak Ridge National Laboratory expertise in fission and fusion has come together to form a new collaboration, the Fusion Energy Reactor Models Integrator, or FERMI
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial
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.
Radioactive isotopes power some of NASA’s best-known spacecraft. But predicting how radiation emitted from these isotopes might affect nearby materials is tricky