Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Materials (49)
- (-) Quantum information Science (6)
- Advanced Manufacturing (1)
- Biology and Environment (102)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (83)
- Climate and Environmental Systems (5)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (2)
- Isotopes (2)
- Materials for Computing (12)
- Mathematics (1)
- National Security (22)
- Neutron Science (22)
- Nuclear Science and Technology (3)
- Supercomputing (121)
News Topics
- (-) Clean Water (3)
- (-) Computer Science (24)
- (-) Environment (15)
- (-) Frontier (3)
- (-) Polymers (17)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (4)
- Artificial Intelligence (10)
- Big Data (2)
- Bioenergy (12)
- Biology (6)
- Biomedical (9)
- Buildings (5)
- Chemical Sciences (32)
- Climate Change (5)
- Composites (9)
- Coronavirus (5)
- Critical Materials (13)
- Cybersecurity (6)
- Decarbonization (7)
- Energy Storage (34)
- Exascale Computing (2)
- Fusion (7)
- Grid (6)
- High-Performance Computing (6)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (5)
- Materials (73)
- Materials Science (78)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (40)
- National Security (3)
- Net Zero (1)
- Neutron Science (34)
- Nuclear Energy (16)
- Partnerships (11)
- Physics (30)
- Quantum Computing (3)
- Quantum Science (20)
- Renewable Energy (1)
- Security (2)
- Simulation (1)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (14)
- Transformational Challenge Reactor (3)
- Transportation (14)
Media Contacts
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
A team of researchers at Oak Ridge National Laboratory and Purdue University has taken an important step toward this goal by harnessing the frequency, or color, of light. Such capabilities could contribute to more practical and large-scale quantum networks exponentially more powerful and secure than the classical networks we have today.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Seven ORNL scientists have been named among the 2020 Highly Cited Researchers list, according to Clarivate, a data analytics firm that specializes in scientific and academic research.
Kübra Yeter-Aydeniz, a postdoctoral researcher, was recently named the Turkish Women in Science group’s “Scientist of the Week.”
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.
Real-time measurements captured by researchers at ORNL provide missing insight into chemical separations to recover cobalt, a critical raw material used to make batteries and magnets for modern technologies.