
NSDE
The NSDE project is focused on research and development of nonlinear solvers and sensitivity analysis techniques for nonlinear, time-dependent, and steady-state partial differential equations.

Quantum Molecular Dynamics
A new algorithm for use with first-principles molecular dynamics codes enables the number of atoms simulated to be proportional to the number of processors available.

Serpentine Wave Propagation
These methods for solving hyperbolic wave propagation problems allow for complex geometries, realistic boundary and interface conditions, and arbitrary heterogeneous material properties.

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.