PROJECTS
Math for Data Mining
Newly developed mathematical techniques reveal important tools for data mining analysis.
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
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.
LLNL uses ML to derive black hole motion from gravitational waves
An LLNL mathematician and collaborators have developed a machine learning–based technique capable of deriving a mathematical model for the motion of binary black holes from gravitational wave data.