#### Phase-Field Modeling

Livermore researchers have developed an algorithm for the numerical solution of a phase-field model of microstructure evolution in polycrystalline materials. The system of equations includes a…

#### First-Principles Molecular Dynamics

LLNL researchers are developing a truly scalable first-principles molecular dynamics algorithm with O(N) complexity and controllable accuracy, capable of simulating systems of sizes that were…

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#### LLNL team achieves largest graph analytics to date

Computer scientists and applied mathematicians searched for 1 quadrillion “triangles” using 1 million processors on LLNL’s IBM BlueGene/Q Sequoia supercomputer.

#### CASC Newsletter | Vol 8 | August 2019

Highlights include perspectives on machine learning and artificial intelligence in science, data driven models, autonomous vehicle operations, and the OpenMP standard 5.0.

#### CEED’s impact on Exascale Computing Project efforts is wide-ranging

The Center for Efficient Exascale Discretizations (CEED) within the ECP involves more than 30 computational scientists from 2 DOE labs (Livermore and Argonne) and 5 universities.