A hybrid projection-ROM plus DNN error-correction surrogate, with a non-intrusive variant, delivers higher accuracy and lower online cost than existing methods on parametric inviscid Burgers equations.
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Surrogate modeling for convection-dominated parametric problems based on error learning
A hybrid projection-ROM plus DNN error-correction surrogate, with a non-intrusive variant, delivers higher accuracy and lower online cost than existing methods on parametric inviscid Burgers equations.