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
HPC4Mfg project targets more energy-efficient steelmaking
An LLNL-led collaboration targeted using machine learning to reduce defects and carbon emissions in steelmaking receives funding through the HPC4Mfg Program.
MFEM team hosts first community workshop
Researchers from LLNL’s Center for Applied Scientific Computing hosted a virtual workshop on October 20 for the MFEM user and developer community.