PROJECTS
AIMS
AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for big climate data discovery, analytics, simulations, and knowledge innovation.
Legacy
GOLLNLP
Responding to a DOE grid optimization challenge, an LLNL-led team developed the mathematical, computational, and software components needed to solve problems of the real-world power grid.
Legacy
GEFIE-QUAD
This first-principles simulation method models the interaction of laser light with diffraction gratings, giving scientists a powerful tool to predict the performance of a laser compressor.
NEWS
HPC4Mfg project targets more energy-efficient steelmaking
An LLNL-led collaboration targeted using machine learning to reduce defects and carbon emissions in steelmaking receives funding through the HPC4Mfg Program.
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.