Hamdoun, A., &; Mahnken, R. (2023). A finite strain gradient theory for viscoplasticity by means of micromorphic regularization. PAMM, 22(1).https://doi.org/10.1002/pamm.202200074 
LibreCat: /record/44892
DOI: 10.1002/pamm.202200074

Tchomgue Simeu, A., &; Mahnken, R. (2023). Goaloriented adaptivity based on a model hierarchy of meanfield and fullfield homogenization methods in elastoplasticity. PAMM, 22(1).https://doi.org/10.1002/pamm.202200053 
LibreCat: /record/44890
DOI: 10.1002/pamm.202200053

Mahnken, R. (2023). Derivation of third order Runge–Kutta methods (ELDIRK) by embedding of lower order implicit time integration schemes for local and global error estimation. Computational Mechanics.https://doi.org/10.1007/s00466-023-02347-2 
LibreCat: /record/45757
DOI: 10.1007/s00466-023-02347-2

Tchomgue Simeu, A., &; Mahnken, R. (2023). Mesh- and model adaptivity for elasto-plastic mean-field and full-field homogenization based on downwind  and upwind approximations. XI International Conference on Adaptive Modeling and Simulation.https://doi.org/10.23967/admos.2023.054 
LibreCat: /record/46762
DOI: 10.23967/admos.2023.054

Westermann, H., &; Mahnken, R. (2023). Numerical investigations of new loworder explicit last stage diagonal implicit Runge–Kutta schemes with the finiteelement method. PAMM, 23(2).https://doi.org/10.1002/pamm.202300071 
LibreCat: /record/48464
DOI: 10.1002/pamm.202300071

Westermann, H., &; Mahnken, R. (2023). On the accuracy, stability and computational efficiency of explicit last-stage diagonally implicit Runge–Kutta methods (ELDIRK) for the adaptive solution of phase-field problems. Computer Methods in Applied Mechanics and Engineering, 418, Article 116545.https://doi.org/10.1016/j.cma.2023.116545 
LibreCat: /record/48465
DOI: 10.1016/j.cma.2023.116545

Lenz, P., Kreutzheide, P., &; Mahnken, R. (2023). Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation. Computers &;amp; Structures, 290, Article 107160.https://doi.org/10.1016/j.compstruc.2023.107160 
LibreCat: /record/48673
DOI: 10.1016/j.compstruc.2023.107160

Tchomgue Simeu, A., &; Mahnken, R. (2023). Downwind and upwind approximations for mesh and model adaptivity of elastoplastic composites. PAMM.https://doi.org/10.1002/pamm.202300136 
LibreCat: /record/49866
DOI: 10.1002/pamm.202300136

Börger, A., &; Mahnken, R. (2023). A micropolar model accounting for asymmetric behavior of coldbox sand in relation to tensile and compression tests. PAMM.https://doi.org/10.1002/pamm.202300126 
LibreCat: /record/52219
DOI: 10.1002/pamm.202300126

Penner, E. (2023). Polymorphic uncertainty in constitutive modeling of polymer composites at different scales. Shaker Verlag.https://doi.org/10.2370/9783844093322 
LibreCat: /record/52649
DOI: 10.2370/9783844093322

Ju, X., Mahnken, R., Xu, Y., Liang, L., Cheng, C., &; Zhou, W. (2022). Multiscale analysis of composite structures with goal-oriented mesh adaptivity and reduced order homogenization. Composite Structures, Article 115699.https://doi.org/10.1016/j.compstruct.2022.115699 
LibreCat: /record/31185
DOI: 10.1016/j.compstruct.2022.115699

Mahnken, R. (2022). Strain mode-dependent weighting functions in hyperelasticity accounting for verification, validation, and stability of material parameters. Archive of Applied Mechanics, 92(3), 713–754.https://doi.org/10.1007/s00419-021-02069-y 
LibreCat: /record/30656
DOI: 10.1007/s00419-021-02069-y

Ju, X., Mahnken, R., Xu, Y., &; Liang, L. (2022). Goal-oriented error estimation and h-adaptive finite elements for hyperelastic micromorphic continua. Computational Mechanics, 69(3), 847–863.https://doi.org/10.1007/s00466-021-02117-y 
LibreCat: /record/30655
DOI: 10.1007/s00466-021-02117-y

Henkes, A., Wessels, H., &; Mahnken, R. (2022). Physics informed neural networks for continuum micromechanics. Computer Methods in Applied Mechanics and Engineering, 393, Article 114790.https://doi.org/10.1016/j.cma.2022.114790 
LibreCat: /record/30657
DOI: 10.1016/j.cma.2022.114790

Mahnken, R., &; Mirzapour, J. (2022). A statistically based strain energy function for polymer chains in rubber elasticity. Archive of Applied Mechanics, 92(11), 3295–3323.https://doi.org/10.1007/s00419-022-02237-8 
LibreCat: /record/34074
DOI: 10.1007/s00419-022-02237-8

Clemens, R., Barth, E., Uhlmann, E., Zhan, Y., Caylak, I., &; Mahnken, R. (2022). Effects on Process Forces of Individual Milling Tool Edges Depending on the Cutting Angle and Cutting Speed When Milling Cfrp. SSRN Electronic Journal.https://doi.org/10.2139/ssrn.4259246 
LibreCat: /record/41485
DOI: 10.2139/ssrn.4259246

Ju, X., Mahnken, R., Xu, Y., &; Liang, L. (2022). NTFA-enabled goal-oriented adaptive space–time finite elements for micro-heterogeneous elastoplasticity problems. Computer Methods in Applied Mechanics and Engineering, 398, Article 115199.https://doi.org/10.1016/j.cma.2022.115199 
LibreCat: /record/32592
DOI: 10.1016/j.cma.2022.115199

Penner, E., Caylak, I., &; Mahnken, R. (2022). A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics. Mathematics and Mechanics of Complex Systems, 10(1), 21–50.https://doi.org/10.2140/memocs.2022.10.21 
LibreCat: /record/34075
DOI: 10.2140/memocs.2022.10.21

Mahnken, R. (2022). New low order Runge–Kutta schemes for asymptotically exact global error estimation of embedded methods without order reduction. Computer Methods in Applied Mechanics and Engineering, 401, Article 115553.https://doi.org/10.1016/j.cma.2022.115553 
LibreCat: /record/33801
DOI: 10.1016/j.cma.2022.115553

Westermann, H., Reitz, A., Mahnken, R., Schaper, M., &; Grydin, O. (2022). Microstructure transformations in a press hardening steel during tailored thermomechanical processing. Steel Research International.https://doi.org/10.1002/srin.202100346 
LibreCat: /record/23794
DOI: 10.1002/srin.202100346