Filter News
Area of Research
- (-) Computer Science (4)
- (-) National Security (4)
- Advanced Manufacturing (4)
- Biology and Environment (25)
- Building Technologies (2)
- Clean Energy (51)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion Energy (6)
- Isotopes (1)
- Materials (21)
- Materials for Computing (8)
- Mathematics (1)
- Neutron Science (23)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (13)
News Topics
- (-) Coronavirus (1)
- (-) Environment (2)
- (-) Grid (3)
- (-) Sustainable Energy (2)
- Artificial Intelligence (4)
- Big Data (5)
- Buildings (1)
- Computer Science (11)
- Cybersecurity (1)
- Energy Storage (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Quantum Science (1)
- Security (1)
- Summit (1)
- 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
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
Oak Ridge National Laboratory’s high-resolution population distribution database, LandScan USA, became permanently available to researchers in time to aid the response to the novel coronavirus pandemic.
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.
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
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.