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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.
![Laminations such as these are compiled to form the core of modern electric vehicle motors. ORNL has developed a software toolkit to speed the development of new motor designs and to improve the accuracy of their real-world performance.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/Motors_OeRSTED_0.jpg?h=af53702d&itok=mT24R4WI)
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![Supercomputing-Memory_boost1.jpg Supercomputing-Memory_boost1.jpg](/sites/default/files/styles/list_page_thumbnail/public/Supercomputing-Memory_boost1.jpg?itok=dDR8CnYC)
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
![Picture2.png Picture2.png](/sites/default/files/styles/list_page_thumbnail/public/Picture2_1.png?itok=IV4n9XEh)
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.
![B_Hudak_ORNL.jpg B_Hudak_ORNL.jpg](/sites/default/files/styles/list_page_thumbnail/public/B_Hudak_ORNL.jpg?itok=Os5uKm-q)
An Oak Ridge National Laboratory-led team used a scanning transmission electron microscope to selectively position single atoms below a crystal’s surface for the first time.
![3D printed permanent magnets with increased density were made from an improved mixture of materials, which could lead to longer lasting, better performing magnets for electric motors, sensors and vehicle applications. Credit: Jason Richards/Oak Ridge Nati 3D printed permanent magnets with increased density were made from an improved mixture of materials, which could lead to longer lasting, better performing magnets for electric motors, sensors and vehicle applications. Credit: Jason Richards/Oak Ridge Nati](/sites/default/files/styles/list_page_thumbnail/public/news/images/06%20-%203D-printed_permament_magnet.jpg?itok=q28pGVEm)
Oak Ridge National Laboratory scientists have improved a mixture of materials used to 3D print permanent magnets with increased density, which could yield longer lasting, better performing magnets for electric motors, sensors and vehicle applications. Building on previous research, ...