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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...
![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...
![ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources. ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2016-P05087.jpg?itok=mSLI1AgK)
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.