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![ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La](/sites/default/files/styles/list_page_thumbnail/public/study_area_one_dest_2.jpg?itok=2cWFkQvW)
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
![Coexpression_hi-res_image[1].jpg Coexpression_hi-res_image[1].jpg](/sites/default/files/styles/list_page_thumbnail/public/Coexpression_hi-res_image%5B1%5D_0.jpg?itok=OnLe-krT)
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.
![Nuclear—Deep space travel Nuclear—Deep space travel](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202018-12-19%20at%2010.29.32%20AM.png?itok=hq0dlVIf)
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
![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.
![By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top. By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top.](/sites/default/files/styles/list_page_thumbnail/public/news/images/02%20mercury%20story%20tip.jpg?itok=wCk3MAYJ)
An Oak Ridge National Laboratory study is providing an unprecedented watershed-scale understanding of mercury in soils and sediments. Researchers focused on evaluating mercury and soil properties along the banks of a mercury-contaminated stream in Oak Ridge, Tenn., sampling 145 loca...
![Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge. Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Andrew_2.png?itok=ScVCkCyd)
Environmental scientists can more efficiently detect genes required to convert mercury in the environment into more toxic methylmercury with molecular probes developed by researchers at the Department of Energy’s Oak Ridge National Laboratory. “We now have a quic...