Filter News
Area of Research
- (-) National Security (5)
- Biology and Environment (53)
- Clean Energy (43)
- Climate and Environmental Systems (2)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Isotopes (3)
- Materials (28)
- Materials for Computing (2)
- Neutron Science (16)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (41)
News Type
News Topics
- (-) Environment (2)
- (-) Grid (2)
- (-) Nanotechnology (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (1)
- Climate Change (1)
- Computer Science (8)
- Coronavirus (1)
- Cybersecurity (10)
- Decarbonization (1)
- Energy Storage (1)
- Fusion (1)
- High-Performance Computing (3)
- Machine Learning (7)
- Materials (1)
- Materials Science (3)
- National Security (16)
- Neutron Science (2)
- Nuclear Energy (4)
- Partnerships (3)
- Security (5)
- Summit (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
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.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
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.