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PROJECTS
Legacy
ExReDi
The Extreme Resilient Discretization project (ExReDi) was established to address these challenges for algorithms common for fluid and plasma simulations.
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.
NEWS
LLNL’s Yang honored among 2024 SIAM Class of Fellows
The Society for Industrial and Applied Mathematics (SIAM) announced the selection of Lawrence Livermore National Laboratory (LLNL) computational mathematician Ulrike Meier Yang as one of the 2024 Class of SIAM Fellows, the highest honor the organization bestows on its members.
Machine learning tool fills in the blanks for satellite light curves
MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.
New research in time integration methods recognized at IEEE conference
Can novel mathematical algorithms help scientific simulations leverage hardware designed for machine learning? A team from LLNL’s Center for Applied Scientific Computing aimed to find out.