Physics informed neural networks for continuum micromechanics. - Alexander Henkes; Henning Wessels; Rolf Mahnken (CoRR, 2021)

A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures. - Alexander Henkes; Ismail Caylak; Rolf Mahnken (CoRR, 2021)

Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics. - Alexander Henkes; Henning Wessels (CoRR, 2022)

Spiking neural networks for nonlinear regression. - Alexander Henkes; Jason K. Eshraghian; Henning Wessels (CoRR, 2022)

Artifical neural networks in continuum micromechanics. - Alexander Henkes (2022)

Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics. - Robin Schmöcker; Alexander Henkes; Julian Roth; Thomas Wick (CoRR, 2024)

Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures. - Alexander Henkes; Leon Herrmann; Henning Wessels; Stefan Kollmannsberger (Eng. Appl. Artif. Intell., 2024)

Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks. - David Anton; Jendrik-Alexander Tröger; Henning Wessels; Ulrich Römer; Alexander Henkes; Stefan Hartmann (Adv. Model. Simul. Eng. Sci., 2025)