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PROJECTS
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libROM

libROM is a library designed to facilitate Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM).

wavy simulation of plasma colored in blue, green, yellow, and white on a black background

VCK

A high-fidelity, specialized code solves partial differential equations for plasma simulations.

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.

PEOPLE
Stefanie Guenther

Stefanie Guenther

Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after…

Alyson Fox presenting at the WiDS conference

Alyson Fox

Alyson Fox is a math geek. She has three degrees in the subject—including a Ph.D. in Applied Mathematics from the University of Colorado at Boulder—and her passion for solving complex challenges…

Will Pazner

Will Pazner

LLNL has named Will Pazner as the third Sidney Fernbach Postdoctoral Fellow in the Computing Sciences.

NEWS
four columns of iterative optimization of a structure

Faster topology optimization: an emerging industrial design technique gets a speed boost

Researchers at Brown University, LLNL, and Simula Research Laboratory have developed a new algorithm to help optimizers arrive at solutions in fewer iterations, saving valuable computing time.

stock image of three data inputs depicted as groups of strands in blue, pink, and yellow, which start out separately but expand and converge into multicolored ones and zeros

ICML25 acceptances

LLNL researchers have posters and workshop papers accepted to the 42nd International Conference on Machine Learning on July 13–19.

3D rectangle divided into an irregular mesh colored blue, red, and green

Robust evaluation of PDE solutions on high-order meshes

A new mathematical technique improves the computational efficiency of evaluating the solution in large-scale, high-order meshes on advanced HPC systems.