Filter News
Area of Research
- (-) Advanced Manufacturing (3)
- (-) Biology and Environment (15)
- (-) National Security (3)
- Biological Systems (1)
- Clean Energy (30)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion Energy (1)
- Isotopes (1)
- Materials (7)
- Mathematics (1)
- Neutron Science (2)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (8)
News Topics
- (-) Big Data (3)
- (-) Bioenergy (10)
- (-) Clean Water (3)
- (-) Composites (4)
- (-) Grid (4)
- (-) Space Exploration (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Biology (14)
- Biomedical (2)
- Biotechnology (2)
- Climate Change (9)
- Computer Science (5)
- Coronavirus (2)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (1)
- Environment (18)
- Fusion (1)
- High-Performance Computing (3)
- Hydropower (3)
- Machine Learning (1)
- Materials (4)
- Materials Science (4)
- Mercury (1)
- Nuclear Energy (1)
- Security (1)
- Simulation (1)
- Sustainable Energy (12)
- 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.