A LLNL scientist and international collaborators have characterized the atmosphere of the exoplanet, WASP-107b, using a transmission spectroscopy technique.
Science and Technology Highlights
LLNL international scientists and collaborators collaborate on an experiment to optimize a high-intensity, high-repetition-rate laser using machine learning.
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.
A multi-institutional team involving LLNL researchers successfully combines an artificial intelligence (AI)-backed platform with supercomputing to redesign and restore antibody effectiveness.
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.
Using a bioengineered protein-based technology, LLNL scientists and collaborators develop a new separation technique for rare-earth elements (REE).