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Media Contacts
![Researchers at Oak Ridge National Laboratory developed an eco-friendly foam insulation for improved building efficiency. Credit: Chad Malone/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-03/foam_thumbnail.png?h=b6717701&itok=O0z-knmD)
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
![Researchers observe T-shaped cluster drives lanthanide separation system during liquid-liquid extraction. Credit: Alex Ivanov/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-02/image_1.png?h=b69e0e0e&itok=1tyDrWMw)
Researchers at ORNL zoomed in on molecules designed to recover critical materials via liquid-liquid extraction — a method used by industry to separate chemically similar elements.
![Researchers at ORNL designed a recyclable carbon fiber material to promote low-carbon manufacturing. Credit: Chad Malone/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/22-G02592_TomonoriSaito_CellReportsPysicalScienceCoverDesign_1mu.png?h=707772c7&itok=f9yiwb6p)
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
![self-healing elastomers](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Buildings%20-%20Unbreakable%20bond-%20small.png?h=5ded6b27&itok=Du9vTz_5)
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
![Colorized micrograph of lily pollen](/sites/default/files/styles/list_page_thumbnail/public/2020-07/Lily_CH%20and%20CO_1.png?h=436b82d4&itok=lntoWKVr)
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
![Batteries - The 3D connection](/sites/default/files/styles/list_page_thumbnail/public/2020-05/Batteries_3D%20story%20tip_2.jpg?h=aeb34e32&itok=puhZ_584)
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
![Motion sensing technology](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Coin-spin-ORNL.jpg?h=dbfb0746&itok=LtrLTeNM)
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
![Desalination process](/sites/default/files/styles/list_page_thumbnail/public/2019-07/hydrophopicDesal04_0.jpg?h=5473d993&itok=bUBkpGOa)
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.