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.

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.

Researchers at LLNL accelerate and add features to complex multi-physics simulations run on Graphics Processing Units (GPUs), a development that could advance high performance computing and engineering.

To support the early detection of potentially detrimental microbial factors, LLNL researchers have developed a targeted panel for the capture and sequencing of microbial genomic signatures.

LLNL computational mathematician Ulrike Meier Yang announced as one of the 2024 Class of SIAM Fellows.

LLNL materials scientist Kate Elder has been selected as a Fulbright U.S. Scholar and will conduct research on high-entropy alloys in Finland.