Artificial intelligence tools secure tomorrow’s electric grid
After being stabilized in an ambulance as he struggled to breathe, Jonathan Harter hit a low point. It was 2020, he was very sick with COVID-19, and his job as a lab technician at ORNL was ending along with his research funding.
Mirko Musa spent his childhood zigzagging his bike along the Po River. The Po, Italy’s longest river, cuts through a lush valley of grain and vegetable fields, which look like a green and gold ocean spreading out from the river’s banks.
Eric Myers of ORNL has been named a senior member of the Institute of Electrical and Electronics Engineers, effective June 21.
Xiao-Ying Yu, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a Fellow of AVS: Science and Technology of Materials, Interfaces, and Processing, formerly American Vacuum Society.
The International Standards Organization has put its stamp of approval on 18 nuclear analytical chemistry methods at ORNL. These testing and calibration methods have received ISO 17025 accreditation.
Early experiments at the Department of Energy’s Oak Ridge National Laboratory have revealed significant benefits to a dry battery manufacturing process. This eliminates the use of solvents and is more affordable, while showing promise for delivering a battery that is durable, less weighed down by inactive elements, and able to maintain a high capacity after use.
Researchers at the Department of Energy’s Oak Ridge National Laboratory were the first to use neutron reflectometry to peer inside a working solid-state battery and monitor its electrochemistry.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.