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PROJECTS
simulation using Vidya’s machine learning-driven Arbitrary Lagrangian Eulerian relaxer

Vidya

This project advances research in physics-informed ML, invests in validated and explainable ML, creates an advanced data environment, builds ML expertise across the complex, and more.

blue laser beams converging on a target

VBL++

Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.

Radiation-driven Kelvin–Helmholtz instability experiment

MAPP

The MAPP incorporates multiple software packages into one integrated code so that multiphysics simulation codes can perform at scale on present and future supercomputers.

NEWS
person's hand holding an APU processor with supercomputer racks in the background

High-performance computing at a crossroads

LLNL's Bruce Hendrickson joins other HPC luminaries in this op-ed about the future of the field.

collage of microphone, podcast logo, molecule, and supercomputer

Podcast: AI and drug discovery

The latest episode of the Big Ideas Lab podcast investigates the use of artificial intelligence for drug discovery and other uses.

At left, a small plate test, modeled with tantalum/LX-14 and tantalum/LX-17. At right, a cylinder test, modeled with tantalum/LX-17

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.