LLNL international scientists and collaborators collaborate on an experiment to optimize a high-intensity, high-repetition-rate laser using machine learning.
Science and Technology Highlights
The American Geophysical Union showcases a paper by LLNL scientists and collaborators on global climate models.
LLNL researchers couple computing capabilities and manufacturing methods to rapidly develop and experimentally validate modifications to a shaped charge.
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 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).
LLNL scientists and collaborators quantify and model the emergent temperature sensitivity of soil organic carbon.