Filter News
Area of Research
- (-) National Security (27)
- (-) Neutron Science (42)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (126)
- Biology and Soft Matter (1)
- Clean Energy (86)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (101)
- Materials Characterization (1)
- Materials for Computing (16)
- Materials Under Extremes (1)
- Mathematics (1)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (82)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (18)
- (-) Bioenergy (9)
- (-) Biology (9)
- (-) Biomedical (13)
- (-) Climate Change (5)
- (-) Materials Science (24)
- (-) Security (12)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (2)
- Big Data (8)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (4)
- Clean Water (2)
- Composites (1)
- Computer Science (31)
- Coronavirus (10)
- Cybersecurity (19)
- Decarbonization (4)
- Energy Storage (8)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (2)
- Fusion (2)
- Grid (6)
- High-Performance Computing (6)
- Machine Learning (15)
- Materials (16)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (11)
- National Security (34)
- Neutron Science (99)
- Nuclear Energy (7)
- Partnerships (4)
- Physics (10)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (8)
- Simulation (1)
- Space Exploration (3)
- Summit (7)
- Sustainable Energy (4)
- Transportation (7)
Media Contacts
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.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
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.
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
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.