Pablo Moriano, a research scientist at ORNL, was given a prestigious distinction from one of the world’s leading educational and scientific computing societies, the .
Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
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
The bigger the swirl, the bigger the problem — and the bigger the computing power needed to solve it.
Researchers at the U.S. Department of Energy’s 91°µÍø are part of a multi-institutional team that will receive nearly $14 million over five years to tackle sparse computational problems in high-performance computing.
Researchers at the Department of Energy’s 91°µÍø and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
After nearly seven years of intense development, the URBAN-NET infrastructure quantification tool is being made available to users.
The Department of Energy’s Office of Science has selected three 91°µÍø scientists for Early Career Research Program awards.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.