Fernández, M., Fritzen, F., & Weeger, O. [ca. 2022]. Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials. In International Journal for Numerical Methods in Engineering [Cd]. Oxford: Wiley. https://doi.org/10.26083/tuprints-00020164

FERNÁNDEZ, Mauricio, FRITZEN, Felix und WEEGER, Oliver, 2022. Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials. Oxford: Wiley.

Fernández, M., F. Fritzen, und O. Weeger. „Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials“. International Journal for Numerical Methods in Engineering, cd, Wiley, 2022, https://doi.org/10.26083/tuprints-00020164.

Fernández, Mauricio/Fritzen, Felix/Weeger, Oliver: Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials, Oxford 2022.

Fernández, M., Fritzen, F. und Weeger, O. (2022), Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials, International Journal for Numerical Methods in Engineering, Bd. , Wiley, Oxford, verfügbar unter:https://doi.org/10.26083/tuprints-00020164.