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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.

collage of SAMRAI application results

SAMRAI

The SAMRAI library is the code base in CASC for exploring application, numerical, parallel computing, and software issues associated with structured adaptive mesh refinement.

Tantalum atoms in a dislocation network colored according to their respective Dynamic Channel Capacity
Legacy

VPC

Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.

NEWS
image from a telescope of distant galaxies and stars

Mapping cosmic shear to illuminate dark energy

In a recent study published in the Astrophysical Journal, LLNL researchers developed an innovative approach to map cosmic shear using linear algebra, statistics, and HPC.

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.

colorful laser lines and circle on black background

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.