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most citedA hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification

24 citations · 43 across the 8 of their papers we have counts for

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math.NA2023★ 1 cited

A hybrid neural-network and MAC scheme for Stokes interface problems

Che-Chia Chang, Chen-Yang Dai, Wei-Fan Hu +2

In this paper, we present a hybrid neural-network and MAC (Marker-And-Cell) scheme for solving Stokes equations with singular forces on an embedded interface in regular domains. As…