ISOPOD: InverSe OPtimizatiOn and Design

MOOSE-based application for performing inverse optimization on multiphysics modeling and simulation.
Technology No. CW-21-58
ISOPOD (InverSe OPtimizatiOn and Design) will be a MOOSE (Multiphysics Object Oriented Simulation Environment)-based framework which will iteratively estimate the parameters by minimizing the difference between simulated and experimental observables. While inverse optimization has long been used for parameter estimation, the unique feature of ISOPOD is rapid solution of new inverse problems, leading to accelerated Research, Development and Demonstration (RD&D) for complex parameter estimation problems. This will be achieved by extending the software structure of MOOSE to inverse optimization, as well as building on the unique automatic differentiation feature of MOOSE.

This software is open source and available at no cost. Download now by visiting the product's GitHub page.
  • swap_vertical_circlemode_editAuthors (4)
    Zachary Prince
    Lynn Munday
    Dewen Yushu
    Daniel Schwen
  • swap_vertical_circlecloud_downloadSupporting documents (0)
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