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![Used cooking oil can be converted into biofuel with carbon derived from recycled tires—a new method developed by an Oak Ridge National Laboratory-led research team. Used cooking oil can be converted into biofuel with carbon derived from recycled tires—a new method developed by an Oak Ridge National Laboratory-led research team.](/sites/default/files/styles/list_page_thumbnail/public/thumb.jpg?itok=02JSRUiH)
![Researchers predicted where lithium ions (green spheres) would pack and move in an open framework of epitaxially strained vanadium dioxide, depicted here by a stick model (oxygen-connecting bonds are red and vanadium-connecting bonds, turquoise). Researchers predicted where lithium ions (green spheres) would pack and move in an open framework of epitaxially strained vanadium dioxide, depicted here by a stick model (oxygen-connecting bonds are red and vanadium-connecting bonds, turquoise).](/sites/default/files/styles/list_page_thumbnail/public/news/images/Batteries_promising_electrode_mats_ORNL.jpg?itok=Hr0Pc2cf)
![Amit_Naskar_2 Amit_Naskar_2](/sites/default/files/styles/list_page_thumbnail/public/Amit_Naskar_2.jpg?itok=qNKzAJSL)
Finding new energy uses for underrated materials is a recurring theme across Amit Naskar’s research portfolio. Since joining Oak Ridge National Laboratory in 2006, he has studied low-cost polymers as carbon fiber precursors, turning lignin−a byproduct of biofuel production−into renewable thermoplastics and creating carbon battery electrodes from recycled tires.
![Left to right: ORNL’s Derek Rose, Matthew Eicholtz, Philip Bingham, Ryan Kerekes, Shaun Gleason Left to right: ORNL’s Derek Rose, Matthew Eicholtz, Philip Bingham, Ryan Kerekes, Shaun Gleason](/sites/default/files/styles/list_page_thumbnail/public/St%20Jude%20Researcher%20Group%20Photo.jpg?itok=6KWAWdvu)
![VA_healthcare_dataset VA_healthcare_dataset](/sites/default/files/styles/list_page_thumbnail/public/VA_healthcare_dataset.jpg?itok=lkJwiGH7)
![ORNL_iESM_model ORNL_iESM_model](/sites/default/files/styles/list_page_thumbnail/public/ORNL_iESM_model_2.jpg?itok=c8FDODqh)
A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Co-developed by Oak Ridge National Laboratory, the novel integrated Earth system model, or iESM, leverages the power of supercomputers, including ORNL’s Titan, to couple biospheric feedbacks from oceans, atmosphere and land with human activity, such as fossil fuel emissions, agriculture and land use.
![Ben Doughty Ben Doughty](/sites/default/files/styles/list_page_thumbnail/public/Ben_Doughty_-_Laser_spectroscopist_-_YouTube.jpg?itok=AeMCjq6u)
![ORNL welcomed its first group of research fellows to join Innovation Crossroads, an entrepreneurial research and development program based at the lab. ORNL welcomed its first group of research fellows to join Innovation Crossroads, an entrepreneurial research and development program based at the lab.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2017-P03414.jpg?itok=m2AggR93)
Oak Ridge National Laboratory today welcomed the first cohort of innovators to join Innovation Crossroads, the Southeast region's first entrepreneurial research and development program based at a U.S. Department of Energy national laboratory. Innovation Crossroads, ...
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.
![Computing_Quantum_deep Computing_Quantum_deep](/sites/default/files/styles/list_page_thumbnail/public/Computing_Quantum_deep.png?itok=uYC0WNy_)
In a first for deep learning, an Oak Ridge National Laboratory-led team is bringing together quantum, high-performance and neuromorphic computing architectures to address complex issues that, if resolved, could clear the way for more flexible, efficient technologies in intelligent computing.