Filter News
Area of Research
- (-) National Security (17)
- (-) Supercomputing (36)
- Biological Systems (1)
- Biology and Environment (36)
- Biology and Soft Matter (1)
- Clean Energy (17)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (2)
- Isotopes (16)
- Materials (16)
- Materials for Computing (4)
- Neutron Science (8)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
News Topics
- (-) Biomedical (7)
- (-) Climate Change (15)
- (-) Cybersecurity (8)
- (-) Frontier (13)
- (-) Nanotechnology (5)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (25)
- Big Data (15)
- Bioenergy (4)
- Biology (8)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (1)
- Computer Science (49)
- Coronavirus (8)
- Decarbonization (4)
- Energy Storage (1)
- Environment (16)
- Exascale Computing (12)
- Grid (4)
- High-Performance Computing (22)
- Machine Learning (13)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (3)
- Physics (3)
- Quantum Computing (10)
- Quantum Science (11)
- Simulation (10)
- Software (1)
- Space Exploration (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.