E. Penner, I. Caylak, and R. Mahnken, “Experimental Investigations of Carbon Fiber Reinforced Polymer Composites and Their Constituents to Determine Their Elastic Material Properties and Complementary Inhomogeneous Experiments with Local Strain Considerations,”10.1007/s12221-023-00122-x__Fibers and Polymers, 2023, doi:10.1007/s12221-023-00122-x .

R. Clemens, E. Barth, E. Uhlmann, Y. Zhan, I. Caylak, and R. Mahnken, “Effects on Process Forces of Individual Milling Tool Edges Depending on the Cutting Angle and Cutting Speed When Milling Cfrp,”10.2139/ssrn.4259246__SSRN Electronic Journal, 2022, doi:10.2139/ssrn.4259246 .

E. Penner, I. Caylak, and R. Mahnken, “A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics,”10.2140/memocs.2022.10.21__Mathematics and Mechanics of Complex Systems, vol. 10, no. 1, pp. 21–50, 2022, doi:10.2140/memocs.2022.10.21 .

E. Penner, I. Caylak, and R. Mahnken, “An uncertainty model for the curing process of transversely fiber reinforced plastics,”10.1002/pamm.202000178__PAMM, 2021, doi:10.1002/pamm.202000178 .

A. Henkes, I. Caylak, and R. Mahnken, “A deep learning driven uncertain fullfield homogenization method,”10.1002/pamm.202000180__PAMM, 2021, doi:10.1002/pamm.202000180 .

E. Penner, I. Caylak, R. Mahnken, and A. Dridger, “Fuzzy and stochastic approach applied to rubber like materials,”10.1080/09617353.2020.1858678__Safety and Reliability, pp. 1–19, 2021, doi:10.1080/09617353.2020.1858678 .

A. Henkes, I. Caylak, and R. Mahnken, “A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures,”10.1016/j.cma.2021.114070__Computer Methods in Applied Mechanics and Engineering, Art. no. 114070, 2021, doi:10.1016/j.cma.2021.114070 .

I. Caylak, E. Penner, and R. Mahnken, “Mean-field and full-field homogenization with polymorphic uncertain geometry and material parameters,”10.1016/j.cma.2020.113439__Computer Methods in Applied Mechanics and Engineering, Art. no. 113439, 2020, doi:10.1016/j.cma.2020.113439 .

A. Dridger, I. Caylak, R. Mahnken, and E. Penner, “A possibilistic finite element method for sparse data,” Safety and Reliability, pp. 58–82, 2019.

M. Mäck et al., “Optimization with constraints considering polymorphic uncertainties,”10.1002/gamm.201900005__GAMM-Mitteilungen, Art. no. e201900005, 2019, doi:10.1002/gamm.201900005 .

E. Penner, I. Caylak, A. Dridger, and R. Mahnken, “A polynomial chaos expanded hybrid fuzzy-stochastic model for transversely fiber reinforced plastics,”10.2140/memocs.2019.7.99__Mathematics and Mechanics of Complex Systems, pp. 99–129, 2019, doi:10.2140/memocs.2019.7.99 .

I. Caylak, E. Penner, and R. Mahnken, “A fuzzy uncertainty model for analytical and numerical homogenization of transversely fiber reinforced plastics,”10.1002/pamm.201900356__PAMM, 2019, doi:10.1002/pamm.201900356 .

A. Dridger, I. Caylak, R. Mahnken, and E. Penner, “On the connection between possibility theory and probability box theory in structural mechanics,” presented at the 13th World Congress in Computational Mechanics , New York, 2018.

I. Caylak, E. Penner, A. Dridger, and R. Mahnken, “Stochastic hyperelastic modeling considering dependency of material parameters,”10.1007/s00466-018-1563-z__Computational Mechanics, pp. 1273–1285, 2018, doi:10.1007/s00466-018-1563-z .

I. Caylak, E. Penner, A. Dridger, and R. Mahnken, “A fuzzystochastic model for transversely fiber reinforced plastics,”10.1002/pamm.201800121__PAMM, 2018, doi:10.1002/pamm.201800121 .

E. Penner, I. Caylak, A. Dridger, and R. Mahnken, “Possibilistic and stochastic analysis using for rubberlike materials,”10.1002/pamm.201800153__PAMM, 2018, doi:10.1002/pamm.201800153 .

E. Penner, I. Caylak, and R. Mahnken, “A multivariate stochastic material model with correlated material parameters,”10.1002/pamm.201710020__PAMM, pp. 67–68, 2018, doi:10.1002/pamm.201710020 .

E. Penner, I. Caylak, and R. Mahnken, “MULTIDIMENSIONAL STOCHASTIC MATERIAL MODELING AT LARGE DEFORMATIONS CONSIDERING PARAMETER CORRELATIONS,”10.7712/120217.5391.16785__2017, doi:10.7712/120217.5391.16785 .

R. Mahnken, I. Caylak, and A. Dridger, “A Stochastic Finite Element Method with a Deviatoric-volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor,”10.24352/UB.OVGU-2017-003__A Stochastic Finite Element Method with a Deviatoric-volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor, 2016, doi:10.24352/UB.OVGU-2017-003 .

I. Caylak, N. Nörenberg, and R. Mahnken, “PC expansion for material parameters using artificial data and statistical methods,”10.1002/pamm.201610084__PAMM, pp. 191–192, 2016, doi:10.1002/pamm.201610084 .