Filter News
Area of Research
- (-) National Security (17)
- (-) Supercomputing (26)
- Advanced Manufacturing (1)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (60)
- Climate and Environmental Systems (4)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (16)
- Fusion Energy (11)
- Materials (16)
- Mathematics (1)
- Neutron Science (7)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Environment (20)
- (-) Fusion (1)
- (-) Grid (6)
- (-) Machine Learning (14)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Big Data (20)
- Bioenergy (4)
- Biology (9)
- Biomedical (11)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (3)
- Exascale Computing (13)
- Frontier (14)
- High-Performance Computing (25)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
Environmental scientists at ORNL have recently expanded collaborations with minority-serving institutions and historically Black colleges and universities across the nation to broaden the experiences and skills of student scientists while bringing fresh insights to the national lab’s missions.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
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.
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