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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.
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.
S&TR cover story: Tsunami forecasting goes exascale
Livermore researchers and collaborators won the international 2025 Gordon Bell Prize for outstanding achievement in high-performance computing with their innovative tsunami early warning model.
LLNL helps advance AI-driven design and simulation for NNSA Aires Tide collaboration
Developed in collaboration with Sandia National Laboratories, Los Alamos National Laboratory, and the Kansas City National Security Campus, Aires Tide brings together expertise across design, manufacturing, and flight testing in a single cross-enterprise effort.
CASC Newsletter | Vol 17 | May 2026
Highlights include turbulent flows, virtual reality, correctness checkers, and AI for chemistry.
