A hybrid solver that replaces the coupled temperature/pressure equation with a trained operator network inside an FEM framework reduces compute by 35-43% while keeping field errors under 5% on unseen loads in thermoelasticity and poroelasticity tests.
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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems
A hybrid solver that replaces the coupled temperature/pressure equation with a trained operator network inside an FEM framework reduces compute by 35-43% while keeping field errors under 5% on unseen loads in thermoelasticity and poroelasticity tests.