Filter News
Area of Research
- (-) Biology and Environment (6)
- (-) Supercomputing (13)
- Advanced Manufacturing (2)
- Clean Energy (13)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (1)
- Materials (33)
- Materials for Computing (5)
- Mathematics (1)
- National Security (4)
- Neutron Science (99)
- Nuclear Science and Technology (5)
News Topics
- (-) Mathematics (3)
- (-) Neutron Science (16)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (2)
- Artificial Intelligence (40)
- Big Data (25)
- Bioenergy (49)
- Biology (75)
- Biomedical (28)
- Biotechnology (14)
- Buildings (6)
- Chemical Sciences (14)
- Clean Water (11)
- Climate Change (51)
- Composites (5)
- Computer Science (104)
- Coronavirus (22)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (22)
- Energy Storage (11)
- Environment (102)
- Exascale Computing (24)
- Frontier (28)
- Fusion (2)
- Grid (7)
- High-Performance Computing (51)
- Hydropower (8)
- Isotopes (2)
- Machine Learning (18)
- Materials (24)
- Materials Science (22)
- Mercury (7)
- Microscopy (16)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (9)
- Net Zero (3)
- Nuclear Energy (5)
- Partnerships (5)
- Physics (8)
- Polymers (4)
- Quantum Computing (19)
- Quantum Science (24)
- Renewable Energy (1)
- Security (5)
- Simulation (23)
- Software (1)
- Space Exploration (3)
- Summit (46)
- Sustainable Energy (35)
- Transformational Challenge Reactor (1)
- Transportation (8)
Media Contacts
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
Growing up exploring the parklands of India where Rudyard Kipling drew inspiration for The Jungle Book left Saubhagya Rathore with a deep respect and curiosity about the natural world. He later turned that interest into a career in environmental science and engineering, and today he is working at ORNL to improve our understanding of watersheds for better climate prediction and resilience.
Hydrologist Jesús “Chucho” Gomez-Velez is in the right place at the right time with the right tools and colleagues to explain how the smallest processes within river corridors can have a tremendous impact on large-scale ecosystems.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.