Katy Bradford: Cassette approach offers compelling construction solution
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award.
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
The award was given in “recognition of his lifelong leadership in fusion technology for plasma fueling systems in magnetically confined fusion systems.”
A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.