Filter News
Area of Research
- (-) National Security (14)
- (-) Neutron Science (10)
- Advanced Manufacturing (1)
- Biology and Environment (11)
- Clean Energy (9)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (9)
- Materials for Computing (3)
- Supercomputing (20)
News Type
News Topics
- (-) Computer Science (9)
- (-) Cybersecurity (3)
- (-) Grid (2)
- (-) Machine Learning (4)
- (-) Neutron Science (7)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Big Data (2)
- Bioenergy (3)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Clean Water (1)
- Climate Change (4)
- Coronavirus (1)
- Decarbonization (1)
- Energy Storage (2)
- Environment (3)
- High-Performance Computing (1)
- Materials Science (2)
- National Security (9)
- Nuclear Energy (2)
- Physics (1)
- Security (3)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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
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
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.