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 Oak Ridge National Laboratory 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.
This year’s virtual Smoky Mountains Computational Sciences and Engineering Conference, or SMC2021, an annual event hosted by the U.S. Department of Energy’s Oak Ridge National Laboratory, featured the fifth installment of the Data Challenge.
The U.S. Department of Energy’s Oak Ridge National Laboratory welcomed scientists from around the world Oct.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.