Filter News
Area of Research
News Topics
- (-) Biomedical (1)
- (-) Coronavirus (1)
- (-) Cybersecurity (2)
- (-) Environment (1)
- (-) Grid (2)
- (-) Neutron Science (1)
- (-) Security (2)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Big Data (2)
- Bioenergy (2)
- Biology (2)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (5)
- Decarbonization (1)
- High-Performance Computing (1)
- Machine Learning (3)
- National Security (7)
- Simulation (1)
- Summit (1)
Media Contacts
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.
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.
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