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Media Contacts
![ORNL researcher Miaofang Chi refines her microscopy techniques toward understanding how and why materials have certain properties. ORNL researcher Miaofang Chi refines her microscopy techniques toward understanding how and why materials have certain properties.](/sites/default/files/styles/list_page_thumbnail/public/M_Chi_casual_0.png?itok=uvQT5OzH)
Material surfaces and interfaces may appear flat and void of texture to the naked eye, but a view from the nanoscale reveals an intricate tapestry of atomic patterns that control the reactions between the material and its environment. Electron microscopy allows researchers to probe...
![BraundmeierA_SIU_ORNL BraundmeierA_SIU_ORNL](/sites/default/files/styles/list_page_thumbnail/public/BraundmeierA_0011_0.jpg?itok=--Bxi4IU)
![An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/Spiking_neural_network_ORNL_2.jpg?itok=CN68Ze_4)
![Fossil_energy_ORNL3.jpg Fossil_energy_ORNL3.jpg](/sites/default/files/styles/list_page_thumbnail/public/Fossil_energy_ORNL3.jpg?itok=jVslmxRP)
![California charging EV station map California charging EV station map](/sites/default/files/styles/list_page_thumbnail/public/news/images/Untitled-1%20%281%29.jpg?itok=NkA3kv-0)
Officials responsible for anticipating the demand for electric vehicle charging stations could get help through a sophisticated new method developed at Oak Ridge National Laboratory. The method considers electric vehicle volume and the random timing of vehicles arriving at cha...
![shape-memory conductors shape-memory conductors](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202017-12-22%20at%202.01.38%20PM.jpg?itok=MBU7cvsD)
A novel approach that creates a renewable, leathery material—programmed to remember its shape—may offer a low-cost alternative to conventional conductors for applications in sensors and robotics. To make the bio-based, shape-memory material, Oak Ridge National Laboratory scientists streamlined a solvent-free process that mixes rubber with lignin—the by-product of woody plants used to make biofuels.
![Neutrons-Exotic_particles.jpg Neutrons-Exotic_particles.jpg](/sites/default/files/styles/list_page_thumbnail/public/Neutrons-Exotic_particles.jpg?itok=9vxFNwzw)