Filter News
Area of Research
- (-) Computational Biology (2)
- (-) Materials (43)
- Advanced Manufacturing (6)
- Biology and Environment (79)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (103)
- Climate and Environmental Systems (2)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (2)
- Isotopes (1)
- Materials for Computing (10)
- Mathematics (1)
- National Security (21)
- Neutron Science (15)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (90)
News Topics
- (-) Artificial Intelligence (10)
- (-) Climate Change (5)
- (-) Molten Salt (3)
- (-) Polymers (17)
- (-) Summit (3)
- (-) Sustainable Energy (13)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (4)
- Big Data (2)
- Bioenergy (11)
- Biology (6)
- Biomedical (9)
- Buildings (5)
- Chemical Sciences (32)
- Clean Water (3)
- Composites (9)
- Computer Science (18)
- Coronavirus (5)
- Critical Materials (13)
- Cybersecurity (4)
- Decarbonization (7)
- Energy Storage (34)
- Environment (15)
- Exascale Computing (2)
- Frontier (3)
- Fusion (7)
- Grid (5)
- High-Performance Computing (6)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (5)
- Materials (73)
- Materials Science (78)
- Mathematics (1)
- Microscopy (27)
- Nanotechnology (39)
- National Security (3)
- Net Zero (1)
- Neutron Science (34)
- Nuclear Energy (16)
- Partnerships (11)
- Physics (29)
- Quantum Computing (3)
- Quantum Science (11)
- Renewable Energy (1)
- Security (2)
- Simulation (1)
- Space Exploration (2)
- 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.
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.
Momentum Technologies Inc., a Dallas, Texas-based materials science company that is focused on extracting critical metals from electronic waste, has licensed an Oak Ridge National Laboratory process for recovering cobalt and other metals from spent
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
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.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.