#### 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.

#### 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.