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PROJECTS
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.
VBL++
Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.
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
High-performance computing at a crossroads
LLNL's Bruce Hendrickson joins other HPC luminaries in this op-ed about the future of the field.
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.
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.