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PROJECTS
MFEM
The open-source MFEM library enables application scientists to quickly prototype parallel physics application codes based on PDEs discretized with high-order finite elements.
ETHOS
The Enabling Technologies for High-Order Simulations (ETHOS) project performs research of fundamental mathematical technologies for next-generation high-order simulations algorithms.
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.
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
SC25 event calendar
LLNL is participating in the 37th annual International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25) in St. Louis on November 16–21, 2025.
LLNL scientists explore real-time tsunami warning system on world’s fastest supercomputer
Scientists at LLNL have helped develop an advanced, real-time tsunami forecasting system—powered by El Capitan, the world’s fastest supercomputer—that could dramatically improve early warning capabilities for coastal communities near earthquake zones.
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.