| A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content B Bahtiri, B Arash, S Scheffler, M Jux, R Rolfes Computer Methods in Applied Mechanics and Engineering 415, 116293, 2023 | 10 | 2023 |
| Elucidating atomistic mechanisms underlying water diffusion in amorphous polymers: An autonomous basin climbing-based simulation method B Bahtiri, B Arash, R Rolfes Computational Materials Science 212, 111565, 2022 | 7 | 2022 |
| A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites B Bahtiri, B Arash, S Scheffler, M Jux, R Rolfes Computer Methods in Applied Mechanics and Engineering 427, 117038, 2024 | 4 | 2024 |
| Phase-field modeling of fracture in viscoelastic–viscoplastic thermoset nanocomposites under cyclic and monolithic loading B Arash, S Zakavati, B Bahtiri, M Jux, R Rolfes Engineering with Computers 41 (1), 681-701, 2025 | | 2025 |
| Cyclic viscoelastic-viscoplastic behavior of epoxy nanocomposites under hygrothermal conditions: A phase-field fracture model B Arash, S Zakavati, B Bahtiri, M Jux, R Rolfes arXiv preprint arXiv:2401.11813, 2024 | | 2024 |
| Deep learning informed multiphysics material modeling of fiber reinforced polymer nanocomposites B Bahtiri Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2024 | | 2024 |
| HANNAH-Herausforderungen der industriellen Anwendung von nanomodifizierten und hybriden Werkstoffsystemen im Rotorblattleichtbau: Abschlussbericht zum Verbundprojekt: Laufzeit … B Bahtiri, C Gerendt, R Unger, B Arash, S Scheffler, R Rolfes Institut für Statik und Dynamik Leibniz Universität Hannover, 2023 | | 2023 |
| Deep Learning Informed Multiphysics Material Modeling of Fiber Reinforced Polymer Nanocomposites B Bahtiri | | |
Behrouz ArashAssociate Professor, Oslo Metropolitan University (OsloMet)Verifisert e-postadresse på oslomet.no
