Construction of A-stable explicit last-stage diagonal implicit Runge–Kutta (ELDIRK) methods
R. Mahnken, H. Westermann, Computational Mechanics (2024).

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational Mechanics 75 (2024) 1377–1406.

Derivation of third order Runge–Kutta methods (ELDIRK) by embedding of lower order implicit time integration schemes for local and global error estimation
R. Mahnken, Computational Mechanics (2023).

Goal-oriented error estimation and h-adaptive finite elements for hyperelastic micromorphic continua
X. Ju, R. Mahnken, Y. Xu, L. Liang, Computational Mechanics 69 (2022) 847–863.

On the implementation of finite deformation gradient-enhanced damage models
R. Ostwald, E. Kuhl, A. Menzel, Computational Mechanics 64 (2019) 847–877.

Stochastic hyperelastic modeling considering dependency of material parameters
I. Caylak, E. Penner, A. Dridger, R. Mahnken, Computational Mechanics (2018) 1273–1285.

Parameter identification for rubber materials with artificial spatially distributed data
N. Nörenberg, R. Mahnken, Computational Mechanics (2015) 353–370.

A Newton-Multigrid algrithm for elasto-plastic/viscoplastic problems
R. Mahnken, Computational Mechanics 15 (2008) 408–425.

Numerical simulation of interface debonding with a combined damage/friction constitutive model
C. Döbert, R. Mahnken, E. Stein, Computational Mechanics 25 (2002) 456–467.