
Autonomous MultiScale
AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.

zfp
zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.

Merlin
Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.

Cindy Gonzales
Cindy Gonzales earned a bachelor’s degree and master’s degree and changed careers—all while working at the Lab. Meet the deputy director of LLNL’s Data Science Institute.

Andrew Gillette
CASC computational mathematician Andrew Gillette has always been drawn to mathematics and says it’s about more than just crunching numbers.

Angeline Lee
Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.

LLNL Researchers Quantify Metal Strength Uncertainty in High-Explosives Models
The team used a Bayesian approach to quantify metal strength uncertainty with tantalum and two common explosive materials and integrated it into a coupled metal/high-explosive model.

ML-driven binary analysis pipeline enhances software quality assurance
Presented last fall at a conference, a new approach to software binary analysis incorporates large-scale training data and hierarchical embeddings.

S&TR cover story: Beginning at the end
The DarkStar inverse design technique blends AI, machine learning, and advanced hydrodynamics simulations to optimize science and engineering solutions starting from the final state.