PROJECTS
PDES
PDES focuses on models that can accurately and effectively simulate California’s large-scale electric grid.
Legacy
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.
Legacy
First-Principles Molecular Dynamics
This scalable first-principles MD algorithm with O(N) complexity and controllable accuracy is capable of simulating systems that were previously impossible with such accuracy.
NEWS
Using supercomputers to optimize hot rolling for the steels of tomorrow
In a project with U.S. Steel, LLNL computational physicists built models of the hot-rolling process to run on LLNL’s HPC platforms.
LLNL joins Human Vaccines Project to accelerate vaccine development
LLNL will lend its expertise in vaccine research and computing resources to the Human Vaccines Project consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.
Updated exascale system for earth simulations
A new version of the Energy Exascale Earth System Model (E3SM) is 2x faster than its earlier version released in 2018.