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Elizabeth Grace (LLNL, right) and Filip Grepl (ELI Beamlines, left) assemble the PROBIES diagnostic, one of many instruments that fed data to the machine-learning optimizer algorithm.
// S&T Highlights

LLNL international scientists and collaborators collaborate on an experiment to optimize a high-intensity, high-repetition-rate laser using machine learning.  

Amanda Randles, recipient of the 2023 ACM Prize in Computing.
// Recognition

Amanda Randles was recognized for groundbreaking contributions to computational health with the 2023 ACM Prize in Computing. 

Graphic of Earth.
// S&T Highlights

The American Geophysical Union showcases a paper by LLNL scientists and collaborators on global climate models.

Unveiled at the International Supercomputing Conference in Germany, the June 2024 Top500 lists three systems with identical components — one computing rack each from El Capitan’s “Early Delivery System” (EDS), LLNL’s newest unclassified supercomputer RZAdams and its unclassified “sister” system Tuolumne. All three registered 19.65 petaFLOPs on the High Performance Linpack (HPL) benchmark, ranking them among the world’s 50 fastest.
// S&T Highlights

Three new systems currently or soon-to-be sited at LLNL debuted on the latest Top500 list of most powerful supercomputers in the world.

Project DarkStar leverages artificial intelligence and machine learning to optimize shaped charges—explosive devices used to manipulate metals.
// S&T Highlights

LLNL researchers couple computing capabilities and manufacturing methods to rapidly develop and experimentally validate modifications to a shaped charge.

Artwork illustrating a new study combining atomistic simulations, machine learning potential, and data-driven methods to study the chemical speciation of amorphous carbon nitride using X-ray absorption near-edge structure (XANES) spectra.
// S&T Highlights

LLNL scientists develop a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials.

Kyle Bushick is the recipient of the 2024 Frederick A. Howes Scholar award for his work in computational science.
// Recognition

LLNL postdoc Kyle Bushick garners the 2024 Frederick A. Howes Scholar award for technical excellence, leadership and character in the field of computational science.  

In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving Lawrence Livermore National Laboratory researchers has successfully combined an artificial intelligence-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromised by viral evolution. The work was published in the journal Nature.
// S&T Highlights

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 sits inside the high voltage test bed (referred to as LXTS) for nEXO experiments.
// Recognition

LLNL postdoc Sam Hedges wins a 2024 Springer Thesis Award for his work in searching for the elusive neutrino.

Jennifer Pett-Ridge has been named a fellow of the Ecology Society of America.
// Recognition

LLNL scientist and head of the Lab’s Carbon Initiative Jennifer Pett-Ridge has been selected as an ESA fellow for her work in soil ecology.