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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.
PDES
PDES focuses on models that can accurately and effectively simulate California’s large-scale electric grid; includes 2014 course.
Phase-Field Modeling
Based on a discretization and time-stepping algorithm, these equations include a local order parameter, a quaternion representation of local orientation, and species composition.
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.
LLNL pushes frontier of fusion target design with AI
Part of an AI framework called the Multi-Agent Design Assistant (MADA), LLNL scientists and collaborators are merging LLMs with simulation tools to interpret natural language prompts and using the platform to generate full physics simulation decks for LLNL’s MARBL multiphysics code.
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.
