#### 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.

#### Conference papers highlight importance of data security to machine learning

The 2021 Conference on Computer Vision and Pattern Recognition features two papers co-authored by an LLNL researcher targeted at understanding robust machine learning models.

#### A winning strategy for deep neural networks

LLNL continues to make an impact at top machine learning (ML) conferences, even as much of the research staff works remotely during the COVID-19 pandemic.

#### S&TR cover story: The exascale software portfolio

The latest issue of LLNL's *Science & Technology Review* magazine showcases Computing in the cover story alongside a commentary by Bruce Hendrickson.