
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
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.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientist
Eva Zarkadoula, an R&D staff member at ORNL's Center for Nanophase Materials Sciences, has been named guest editor in a special issue on "Interface Engineering and Property Functionalization" for JOM.
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
ORNL staff members played prominent roles in reports that won one Distinction award and two Excellence awards in the 2022 Alliance Competition of the Society for Technical Communication. PSD's Karren More and Bruce Moyer participated.
When Addis Fuhr was growing up in Bakersfield, California, he enjoyed visiting the mall to gaze at crystals and rocks in the gem store.
Jingsong Huang, a staff scientist at ORNL’s Center for Nanophase Materials Sciences, has been selected as an associate editor of Frontiers in Soft Matter.
Eva Zarkadoula, an R&D staff member at ORNL’s Center for Nanophase Materials Sciences, has been appointed to the early career editorial board of Nuclear Materials and Energy.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are leading a new project to ensure that the fastest supercomputers can keep up with big data from high energy physics research.