Filter News
Area of Research
- (-) National Security (16)
- Advanced Manufacturing (1)
- Biology and Environment (35)
- Biology and Soft Matter (1)
- Clean Energy (32)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotopes (1)
- Materials (33)
- Materials for Computing (6)
- Neutron Science (13)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
- Supercomputing (57)
News Topics
- (-) Big Data (4)
- (-) Climate Change (4)
- (-) Computer Science (9)
- (-) Grid (3)
- (-) Materials Science (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Bioenergy (2)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Nanotechnology (1)
- National Security (23)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
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.
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 Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
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.
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.