Math for Data Mining
Newly developed mathematical techniques reveal important tools for data mining analysis.
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.
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.
Video: Meso and macroscale modeling 1 (IPAM at UCLA)
UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Tzanio Kolev for a talk about high-order finite element methods.
A look back: Robert Hughes and the development of FORTRAN
LLNL’s archives provide a glimpse into the career and contributions of a computing pioneer.
CASC Newsletter | Vol 12 | November 2022
Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.