Filter News
Area of Research
- (-) National Security (31)
- Advanced Manufacturing (5)
- Biology and Environment (49)
- Clean Energy (81)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (23)
- Materials (61)
- Materials for Computing (11)
- Neutron Science (83)
- Nuclear Science and Technology (8)
- Quantum information Science (3)
- Supercomputing (100)
News Type
News Topics
- (-) Artificial Intelligence (12)
- (-) Computer Science (17)
- (-) Grid (4)
- (-) Neutron Science (4)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (4)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Coronavirus (1)
- Cybersecurity (17)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (34)
- Nuclear Energy (4)
- Partnerships (5)
- Physics (1)
- Quantum Science (1)
- Security (10)
- Simulation (1)
- Summit (1)
- Transportation (1)
Media Contacts
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
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.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
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.
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.
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