Filter News
Area of Research
- (-) National Security (11)
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (39)
- Computational Engineering (1)
- Computer Science (11)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (8)
- Materials (27)
- Materials for Computing (4)
- Neutron Science (14)
- Nuclear Science and Technology (5)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (35)
News Type
News Topics
- (-) Artificial Intelligence (6)
- (-) Coronavirus (1)
- (-) Fusion (1)
- (-) Grid (3)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (1)
- Biology (2)
- Biomedical (1)
- Chemical Sciences (2)
- Climate Change (1)
- Computer Science (10)
- Cybersecurity (11)
- Energy Storage (2)
- Environment (2)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (1)
- Machine Learning (4)
- Materials (1)
- Materials Science (1)
- National Security (11)
- Neutron Science (2)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (1)
- Security (6)
- Summit (1)
- Sustainable Energy (2)
- Transportation (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.