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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.
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.
PEOPLE
Carol Woodward
An LLNL Distinguished Member of Technical Staff, Carol Woodward consults on a diverse array of projects at the Lab and beyond. “It’s nice because it means I can work at the same place and not just…
Julian Andrej
Computational mathematician Julian Andrej began using LLNL-developed, open-source software while in Germany. Now at Livermore, he lends his expertise to the Center for Applied Scientific Computing…
Steven Roberts
As Computing’s fifth Fernbach Fellow, postdoctoral researcher Steven Roberts will develop, analyze, and implement new time integration methods.
NEWS
Shifting foundations: an AI paradigm emerges in computational science
A new CASC paper proposes unity and clarity around foundation models in computational science, offering an implementation framework inspired by finite element methods.
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.
ICML25 acceptances
LLNL researchers have posters and workshop papers accepted to the 42nd International Conference on Machine Learning on July 13–19.