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Media Contacts
![Green, two-story house is being assembled with the help of a yellow crane.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Live%20build.jpg?h=e6fe02d8&itok=pIv_pj6-)
Building innovations from ORNL will be on display in Washington, D.C. on the National Mall June 7 to June 9, 2024, during the U.S. Department of Housing and Urban Development’s Innovation Housing Showcase. For the first time, ORNL’s real-time building evaluator was demonstrated outside of a laboratory setting and deployed for building construction.
![Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/2024-P09065.jpg?h=036a71b7&itok=szEF_SdO)
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
![Two robotic arms, one on the left side of the frame and one on the right - are pointing at a brown three pronged shape on a table. There are people in the background looking at this setup.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Innovation%20Days%20MedUSA%20photo.jpg?h=c6980913&itok=D45HERPH)
Momentum for manufacturing innovation in the United States got a boost during the inaugural MDF Innovation Days, held recently at the U.S. Department of Energy Manufacturing Demonstration Facility at Oak Ridge National Laboratory.
![People in a large convention room networking before a presentation](/sites/default/files/styles/list_page_thumbnail/public/2024-05/20240529_125451.jpg?h=19f14c2c&itok=SP4cISML)
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
![A team led by Oak Ridge National Laboratory researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2024-05/OLCF_LLMstudy.jpg?h=ae114f5c&itok=x0_oxTc3)
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
![This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Mapper_Radar_20220929_1000.jpg?h=252b3bba&itok=L96QFTQW)
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
![Frontier supercomputer sets new standard in molecular simulation](/sites/default/files/styles/list_page_thumbnail/public/2024-05/OLCF_LammpsBanner.png?h=ae114f5c&itok=h_Bam9gm)
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
![Mohamad Zineddin](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Dr%20Z.png?h=2a35d14f&itok=2ZMLdTMr)
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
![Joon-Seok Kim Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/joon-seok.jpg?h=d9b3a08b&itok=qiPgBrWQ)
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.