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Media Contacts
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
ORNL has launched a new entrepreneurial start-up program, Safari, as an addition to DOE's Office of Technology Transitions Practices to Accelerate the Commercialization of Technologies program. Safari seeks to connect post-exit entrepreneurs with commercially relevant technologies developed by world-leading scientific experts, which could provide the basis for a new business.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
Entrepreneur-fellows in Innovation Crossroads will complete the Spark Cleantech Accelerator, a 12-week program offered by the Spark Innovation Center at the UT Research Park.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Oak Ridge National Laboratory researchers used images from a photo-sharing website to identify crude oil train routes across the nation to provide data that could help transportation planners better understand regional impacts.
Four firms doing business with the Department of Energy’s Oak Ridge National Laboratory received ORNL Small Business Awards during an awards ceremony on June 29.
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.