A LLNL scientist and international collaborators have characterized the atmosphere of the exoplanet, WASP-107b, using a transmission spectroscopy technique.
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LLNL international scientists and collaborators collaborate on an experiment to optimize a high-intensity, high-repetition-rate laser using machine learning.
Amanda Randles was recognized for groundbreaking contributions to computational health with the 2023 ACM Prize in Computing.
The American Geophysical Union showcases a paper by LLNL scientists and collaborators on global climate models.
Three new systems currently or soon-to-be sited at LLNL debuted on the latest Top500 list of most powerful supercomputers in the world.
LLNL researchers couple computing capabilities and manufacturing methods to rapidly develop and experimentally validate modifications to a shaped charge.
LLNL scientists develop a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials.
LLNL postdoc Kyle Bushick garners the 2024 Frederick A. Howes Scholar award for technical excellence, leadership and character in the field of computational science.
A multi-institutional team involving LLNL researchers successfully combines an artificial intelligence (AI)-backed platform with supercomputing to redesign and restore antibody effectiveness.
LLNL postdoc Sam Hedges wins a 2024 Springer Thesis Award for his work in searching for the elusive neutrino.