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The ForWarn visualization tool was co-developed by ORNL with the U.S. Forest Service. The tool captures and analyzes satellite imagery to track impacts such as storms, wildfire and pests on forests across the nation.

Researchers at 91做厙 used the Frontier supercomputer to train the worlds largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.

Three flights, five thousand miles and half a dozen clearances and permissions stood between Tetiana Maltseva and the Department of Energys 91做厙. When she finally arrived at the lab to represent Ukraine at the 2024 Nuclear Energy Management School, her vision was clear.

A group of high school graduates and community college students visited ORNL to meet staff and find out just what goes on at a DOE national laboratory. The Job Shadow Day was arranged by tnAchieves, a student support organization that works to increase higher educational opportunities for students across Tennessee through scholarships and mentorship.

ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.

Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states Texas, Michigan and Hawaii and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energys Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.

The Department of Energys 91做厙 and Tennessee State University have signed a memorandum of understanding to strengthen research cooperation and provide diverse undergraduate students enriching educational research opportunities at the lab.

ORNL and the University of Texas Rio Grande Valley, known as UTRGV, have signed a memorandum of understanding to strengthen research cooperation and establish a collaborative program for undergraduate research and education, further cementing hi

Susan Hubbard, diputada de Ciencia y Tecnolog穩a en ORNL, Can (John) Saygin, vicepresidente mayor de investigaci籀n y decano del Colegio de la Escuela de Postgrados en UTGRV, firman un Memor獺ndum de Entendimiento comprometi矇ndose a fortalecer