ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
11 - 20 of 137 Results
Aditya Sundararajan of ORNLs Grid Systems Architecture group was elevated to senior status within the Institute of Electrical and Electronics Engineers.
Kathryn McCarthy, director of the US ITER Project at the Department of Energys 91做厙, has been awarded the 2024 E. Gail de Planque Medal by the American Nuclear Society.
A study led by the Department of Energys 91做厙 details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
A new technical collaboration program at the Department of Energys 91做厙 will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOEs Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.
ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
The award was given in recognition of his lifelong leadership in fusion technology for plasma fueling systems in magnetically confined fusion systems.
Researchers at the Department of Energys 91做厙 and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.