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Media Contacts
![ORNL’s Ramesh Bhave poses in his lab in March 2019. Bhave developed the Membrane Solvent Extraction process, which can be used to recover cobalt and other metals from spent lithium-ion batteries. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-10/2019-P01791_0.jpg?h=a31ffb6c&itok=1Cd8wiQV)
Momentum Technologies Inc., a Dallas, Texas-based materials science company that is focused on extracting critical metals from electronic waste, has licensed an Oak Ridge National Laboratory process for recovering cobalt and other metals from spent
![Jianlin Li employs ORNL’s world-class battery research facility to validate the innovative safety technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P14810-blurred_0.jpg?h=245bf488&itok=DMmYlD02)
Soteria Battery Innovation Group has exclusively licensed and optioned a technology developed by Oak Ridge National Laboratory designed to eliminate thermal runaway in lithium ion batteries due to mechanical damage.
![ORNL researchers and energy storage startup Sparkz have developed a cobalt-free cathode material for use in lithium-ion batteries Credit: Ilias Belharouak/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-10/cobalt-sparkz_0.jpg?h=cd715a88&itok=vTU2FKUY)
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
![EERE Assistant Secretary Daniel Simmons, center right, with ORNL’s Xin Sun, EERE Deputy Assistant Secretary Alex Fitzsimmons and ORNL’s Moe Khaleel, helped launch new capabilities to advance connected and automated vehicle technologies at the DOE National Transportation Research Center at ORNL. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-10/25acbb45-a7e5-43e8-844d-598afb8150c4_0.jpg?h=165596a9&itok=5Bt--mUR)
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
![Simulation of short polymer chains](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Screen%20Shot%202020-07-27%20at%202.46.08%20PM_0.png?h=fc4031ca&itok=DVcIeNaW)
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
![Cations between layers of MXene](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Cations_holistic_study_0.png?h=de4bb2b8&itok=gX7Dgpbe)
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
![Researcher Chase Joslin uses Peregrine software to monitor and analyze a component being 3D printed at the Manufacturing Demonstration Facility at ORNL. Credit: Luke Scime/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Peregrine%20Chase%20Joslin_0.jpg?h=51c7b451&itok=4Hc6PNwu)
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
![Researchers at Oak Ridge National Laboratory shed new light on elusive chemical processes at the liquid-liquid interface during solvent extraction of cobalt (dark blue). Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/6_final.png?h=d1cb525d&itok=KQte9kSh)
Real-time measurements captured by researchers at ORNL provide missing insight into chemical separations to recover cobalt, a critical raw material used to make batteries and magnets for modern technologies.
![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.
![Joe Hagerman is expanding connected neighborhood research at ORNL and envisions buildings of the future as resources capable of managing the flow and exchange of energy based on economic and market signals – a concept known as transactive energy. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Department of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2020-P08672%5B2%5D_1.jpg?h=8f9cfe54&itok=CFroD1Y2)
Joe Hagerman, ORNL research lead for buildings integration and controls, understands the impact building technology innovations can have during times of crisis. Over a decade ago, he found himself in the middle of one of the most devastating natural disasters of the century, Hurricane Katrina.