Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Environment (4)
- (-) Frontier (3)
- Artificial Intelligence (4)
- Big Data (2)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Climate Change (6)
- Computer Science (7)
- Coronavirus (3)
- Cybersecurity (2)
- Decarbonization (1)
- Exascale Computing (1)
- Grid (2)
- High-Performance Computing (5)
- Machine Learning (4)
- Materials (4)
- Materials Science (3)
- Microscopy (1)
- Nanotechnology (2)
- National Security (8)
- Neutron Science (1)
- Quantum Computing (5)
- Quantum Science (3)
- Security (2)
- Simulation (3)
- Summit (4)
- 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.
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
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
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.