Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow

Physics-informed and data-driven surrogates are increasingly used to approximate mechanics-governed flow fields, but the target quantities assigned to such models are not always identifiable from the input variables available at prediction time. We introduce an input-schema identifiability certifica…

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