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PROJECTS
Contact Mechanics Modeling and Simulation
Newly developed scalable numerical algorithms using AMG techniques help address the limitations in contact mechanics analyses and engineering design.
SLOPE-Grid
A sophisticated, cost-effective framework combines HPC, ML models, and mathematical algorithms to optimize power grid stability and security.
Formal Methods and Correctness
Livermore researchers are engaged in efforts to apply correctness and formal methods to improve the reliability, reproducibility, and accuracy of the Laboratory’s high performance computing codes.
PEOPLE
DMTS class of 2026
Six LLNL Computing researchers have been named Distinguished Members of Technical Staff in recognition of their extraordinary scientific and technical contributions.
Daniel Nichols
As Computing’s ninth Fernbach Fellow, postdoctoral researcher Daniel Nichols will explore how AI can accelerate HPC and computational science under the mentorship of Harshitha Menon.
Carolyn Albiston
Carolyn Albiston is a research software engineer in NIF Shot Data Systems. Her career is a culmination of her wide range of varied interests and skills.
NEWS
CASC Newsletter | Vol 17 | May 2026
Highlights include turbulent flows, virtual reality, correctness checkers, and AI for chemistry.
Big Ideas Lab podcast highlights HPC4EI
The Big Ideas Lab dives into the High Performance Computing for Energy Innovation program, a collaboration between national labs and private industry that tackles complex industrial challenges with computational science.
LLNL, Meta co-develop groundbreaking polymer-chemistry dataset for training AI models
In a pioneering partnership to accelerate materials discovery with AI, researchers from LLNL and Meta have created the world’s largest open dataset of atomistic polymer chemistry.