Filter News
Area of Research
- (-) Computational Engineering (2)
- (-) Computer Science (5)
- (-) Electricity and Smart Grid (1)
- (-) National Security (3)
- Advanced Manufacturing (1)
- Biology and Environment (13)
- Clean Energy (37)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (7)
- Isotopes (1)
- Materials (8)
- Mathematics (1)
- Neutron Science (2)
- Nuclear Science and Technology (4)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (9)
News Topics
- (-) Climate Change (1)
- (-) Energy Storage (1)
- (-) Grid (4)
- (-) Machine Learning (3)
- (-) Summit (1)
- Artificial Intelligence (4)
- Big Data (5)
- Buildings (1)
- Clean Water (1)
- Computer Science (12)
- Coronavirus (1)
- Cybersecurity (1)
- Environment (3)
- High-Performance Computing (1)
- Mathematics (1)
- Quantum Science (1)
- Security (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
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.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.