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PROJECTS
Legacy
VPC
Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.
Alkemi
Simulation workflows for ALE methods often require a manual tuning process. We are developing novel predictive analytics for simulations and an infrastructure for integration of analytics.
AIMS
AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for Earth system data discovery, analytics, simulations, and knowledge innovation.
NEWS
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.
ICML25 acceptances
LLNL researchers have posters and workshop papers accepted to the 42nd International Conference on Machine Learning on July 13–19.