Filter News
Area of Research
News Type
News Topics
- (-) Environment (2)
- (-) Grid (1)
- (-) Nanotechnology (1)
- Artificial Intelligence (1)
- Big Data (2)
- Biology (1)
- Climate Change (1)
- Computer Science (5)
- Coronavirus (1)
- Cybersecurity (3)
- Energy Storage (1)
- Machine Learning (1)
- Materials Science (3)
- National Security (3)
- Neutron Science (2)
- Nuclear Energy (1)
- Security (3)
- 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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.