Filter News
Area of Research
- (-) Materials (29)
- (-) National Security (15)
- (-) Neutron Science (9)
- Advanced Manufacturing (1)
- Biology and Environment (44)
- Biology and Soft Matter (1)
- Clean Energy (27)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (30)
- Fusion Energy (14)
- Isotopes (2)
- Materials for Computing (4)
- Mathematics (1)
- Nuclear Science and Technology (27)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Supercomputing (50)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (13)
- (-) Climate Change (4)
- (-) Fusion (4)
- (-) Microscopy (12)
- (-) Nuclear Energy (15)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (13)
- Big Data (7)
- Bioenergy (8)
- Biology (4)
- Biomedical (11)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (4)
- Composites (6)
- Computer Science (23)
- Coronavirus (6)
- Critical Materials (5)
- Cybersecurity (9)
- Decarbonization (5)
- Energy Storage (17)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Grid (7)
- High-Performance Computing (5)
- Isotopes (8)
- Machine Learning (11)
- Materials (37)
- Materials Science (41)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (18)
- National Security (22)
- Neutron Science (59)
- Partnerships (3)
- Physics (13)
- Polymers (11)
- Quantum Computing (3)
- Quantum Science (4)
- Simulation (1)
- Space Exploration (4)
- Summit (3)
- Sustainable Energy (7)
- Transformational Challenge Reactor (2)
- Transportation (13)
Media Contacts
Larry Allard, a distinguished research staff member at Oak Ridge National Laboratory, has been named a Fellow of the Microanalysis Society.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.