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20232026
most citedA hybrid physics-informed neural network based multiscale solver as a partial differential equation constrained optimization problem

3 citations · 3 across the 4 of their papers we have counts for

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math.OC2023★ 3 cited

A hybrid physics-informed neural network based multiscale solver as a partial differential equation constrained optimization problem

Michael Hintermüller, Denis Korolev

In this work, we study physics-informed neural networks (PINNs) constrained by partial differential equations (PDEs) and their application in approximating PDEs with two characteri…