Systems and methods of component-based modeling using trained surrogates

Abstract

Systems and methods of component-based modeling using trained surrogates are disclosed. A component architecture is made up of composable subsystem components. The composable subsystem components are reusable, such that the subsystem components are trained, and a library of trained model-reduced forms is created, which allows for large-scale models to be automatically accelerated for modeling. In this way, complex models are built by stitching together pre-designed, pre-shrunk components consisting of self-contained systems. A novel combination of using surrogates for modeling purposes and accelerated solving is provided to create an architecture that simulates complex physical processes that were previously infeasible to simulate in a commercially reasonable time.

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