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20242026
most citedA Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures

16 citations · 18 across the 3 of their papers we have counts for

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cs.CE2026

Hyperreduction accelerates finite element model updating for the discovery of neural materials

Hagen Holthusen, Matthias Knipper, Kevin Linka

Finite element model updating is among the most general approaches to discover constitutive models from structural experiments: since the displacement field is computed rather than…

physics.comp-ph2026

Automatic-Differentiation-Enabled Finite Element Model Updating: Learning Constitutive Neural Networks from Structural Deformation Data

Matthias Knipper, Chenyi Ji, Malte Brand +1

The identification of constitutive neural network models from heterogeneous full-field deformation data provides a robust alternative to traditional calibration methods based on ho…