Rajeev Jain is a software development specialist in the Mathematics and Computer Science Division at Argonne National Laboratory.
His research combines physics applications, programming, mesh generation, and high-performance computing (HPC) to run large-scale simulations on HPC resources. In particular, he is interested in HPC algorithms, geometry/mesh generation applications, and setting up of meaningful coupled simulations.
Jain is currently involved in three primary projects:
- Urban exascale project focusing on coupling of atmosphere, building energy, transportation, and socio-economic models with researchers at Argonne, Oak Ridge, Lawrence Berkeley, NREL, and UChicago
- Exascale deep-learning-enabled precision medicine for cancer with researchers at Argonne, Los Alamos, Lawrence Livermore, and Oak Ridge National Laboratories and the National Cancer Institute
- SIGMA tools including the RGG toolkit that is focused on mesh generation for nuclear reactor models with researchers in the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program and developers from Kitware Inc.
Jain is also the primary lead on the mesh generation algorithms (MeshKit package) and has been actively involved with the development of the SIGMA toolkit at Argonne National Laboratory. In the past, he has worked closely with application scientists to generate physics-specific unstructured meshes for several complex nuclear reactor assembly and core models, which were successfully utilized in challenging multiphysics simulation problems.
- Software development
- Mesh generation/tools
- Design optimization
- Physics simulation