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The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
Scientists at ORNL have developed a method that demonstrates how fiber-reinforced polymer composite materials used in the automotive, aerospace and renewable energy industries can be made stronger and tougher to better withstand mechanical or structural stresses over time.
ORNLs Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
Scientists at ORNL have developed 3-D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
An experiment by researchers at the Department of Energys 91做厙 demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
Rigoberto Gobet Advincula, a scientist at the Department of Energys 91做厙, has been appointed a Fellow of the Institute of Materials, Minerals and Mining.
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
Rigoberto Gobet Advincula, a scientist at the Department of Energys 91做厙, has been named a 2023 Fellow of the National Academy of Inventors. Advincula has been recognized for his 14 patents and 21 published filings related to nanomaterials, smart coatings and films, solid-state device fabrication and chemical additives.
On Nov. 1, about 250 employees at 91做厙 gathered in person and online for Quantum on the Quad, an event designed to collect input for a quantum roadmap currently in development. This document will guide the laboratory's efforts in quantum science and technology, including strategies for expanding its expertise to all facets of the field.
A team of eight scientists won the Association for Computing Machinerys 2023 Gordon Bell Prize for their study that used the worlds first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.