Filter News
Area of Research
- (-) National Security (16)
- Biological Systems (1)
- Biology and Environment (77)
- Biology and Soft Matter (1)
- Clean Energy (44)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (7)
- Materials (25)
- Materials for Computing (4)
- Neutron Science (15)
- Nuclear Science and Technology (17)
- Quantum information Science (2)
- Supercomputing (52)
News Topics
- (-) Bioenergy (2)
- (-) Biomedical (1)
- (-) Computer Science (9)
- (-) Environment (3)
- (-) Grid (3)
- (-) Nuclear Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (4)
- Biology (3)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Materials Science (2)
- Nanotechnology (1)
- National Security (23)
- Neutron Science (2)
- Partnerships (1)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
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.
Stephen Dahunsi’s desire to see more countries safely deploy nuclear energy is personal. Growing up in Nigeria, he routinely witnessed prolonged electricity blackouts as a result of unreliable energy supplies. It’s a problem he hopes future generations won’t have to experience.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
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.
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.