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PROJECTS
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Legacy

GOLLNLP

Responding to a DOE grid optimization challenge, an LLNL-led team developed the mathematical, computational, and software components needed to solve problems of the real-world power grid.

Computational Math | Computational Science | Critical Infrastructure | Cyber Security
PROJECTS
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Legacy

GEFIE-QUAD

This first-principles simulation method models the interaction of laser light with diffraction gratings, giving scientists a powerful tool to predict the performance of a laser compressor.

Computational Math | Computational Science | Lasers and Optics
PROJECTS
graph showing performance versus arithmetic intensity
Legacy

ExReDi

The Extreme Resilient Discretization project (ExReDi) was established to address these challenges for algorithms common for fluid and plasma simulations.

Computational Math | Discrete Mathematics | Solvers
PROJECTS

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NEWS
artist's rendering of two black holes merging

LLNL uses ML to derive black hole motion from gravitational waves

November 9, 2021

An LLNL mathematician and collaborators have developed a machine learning–based technique capable of deriving a mathematical model for the motion of binary black holes from gravitational wave data.

AI/ML | Computational Math | Computational Science | Data Science | PDE Methods
NEWS
stylized image of supercomputer racks

Using supercomputers to optimize hot rolling for the steels of tomorrow

November 8, 2021

In a project with U.S. Steel, LLNL computational physicists built models of the hot-rolling process to run on LLNL’s HPC platforms.

Computational Math | Computational Science | Materials Science
NEWS
ML4I logo on black background

Inaugural industry forum inspires ML community

September 16, 2021

LLNL held its first-ever Machine Learning for Industry Forum (ML4I) on August 10–12, co-hosted by the Lab’s High-Performance Computing Innovation Center and Data Science Institute.

AI/ML | Computational Math | Computational Science | Data Science | Materials Science
NEWS

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