First
1
2026
Dean A, Mavani J, Bahtiri B, Arash B, Rolfes R. A hybrid electromechanical phase-field and deep learning framework for predicting fracture in dielectric nanocomposites. Engineering fracture mechanics. 2026 Mär 26;335:111906. Epub 2026 Jan 29. doi: 10.1016/j.engfracmech.2026.111906
2025
Arash B, Zakavati S, Bahtiri B, Jux M, Rolfes R. Phase-field modeling of fracture in viscoelastic–viscoplastic thermoset nanocomposites under cyclic and monolithic loading. Engineering with computers. 2025 Feb;41(1):681-701. 123741. Epub 2024 Aug 8. doi: 10.1007/s00366-024-02041-8
Dean A, Naik VB, Bahtiri B, Mahdi E, Kumar PKAV. Physics-Informed Deep Learning Constitutive Model for Anisotropic and Pressure-Dependent Behavior of Short Fiber-Reinforced Polymers. International Journal for Numerical Methods in Engineering. 2025 Okt 7;126(19):e70144. doi: 10.1002/nme.70144
2024
Bahtiri B, Arash B, Scheffler S, Jux M, Rolfes R. A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites. Computer Methods in Applied Mechanics and Engineering. 2024 Jul 1;427:117038. Epub 2024 Mai 11. doi: 10.1016/j.cma.2024.117038
Bahtiri B. Deep learning informed multiphysics material modeling of fiber reinforced polymer nanocomposites. Hannover: Leibniz Universität Hannover, 2024. 122 S. doi: 10.15488/18108
2023
Bahtiri B, Arash B, Scheffler SS, Jux M, Rolfes R. A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content. Computer Methods in Applied Mechanics and Engineering. 2023 Okt 1;415:116293. Epub 2023 Aug 7. doi: 10.48550/arXiv.2305.08102, 10.1016/j.cma.2023.116293
2022
Bahtiri B, Arash B, Rolfes R. Elucidating atomistic mechanisms underlying water diffusion in amorphous polymers: An autonomous basin climbing-based simulation method. Computational materials science. 2022 Sep;212:111565. Epub 2022 Jun 17. doi: 10.1016/j.commatsci.2022.111565
