Filter News
Area of Research
- (-) National Security (6)
- (-) Neutron Science (14)
- (-) Transportation Systems (1)
- Advanced Manufacturing (10)
- Biology and Environment (11)
- Clean Energy (86)
- Climate and Environmental Systems (4)
- Computational Engineering (1)
- Computer Science (6)
- Fusion and Fission (2)
- Fusion Energy (7)
- Materials (38)
- Materials for Computing (5)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (27)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (3)
- (-) Clean Water (1)
- (-) Environment (7)
- (-) Grid (2)
- (-) Nanotechnology (6)
- (-) Transportation (2)
- Big Data (4)
- Bioenergy (4)
- Biomedical (7)
- Climate Change (1)
- Computer Science (14)
- Coronavirus (6)
- Cybersecurity (4)
- Energy Storage (4)
- Machine Learning (4)
- Materials Science (12)
- Mathematics (1)
- Microscopy (2)
- National Security (2)
- Neutron Science (43)
- Nuclear Energy (4)
- Physics (4)
- Polymers (1)
- Quantum Science (4)
- Security (4)
- Summit (6)
- Sustainable Energy (2)
Media Contacts
![As part of a preliminary study, ORNL scientists used critical location data collected from Twitter to map the location of certain power outages across the United States.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/PowerOutageTweets_map_0.png?h=6448fdc1&itok=AUit-O2Y)
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.