E. Ghane, M. Fagerström, S.M. Mirkhalaf, (2024). Recurrent neural networks and transfer learning for predicting elasto-plasticity in woven composites. European Journal of Mechanics / A Solids 107, 105378.
H.L. Cheung, P. Uvdal, S.M. Mirkhalaf, (2024). Augmentation of scarce data—A new approach for deep-learning modeling of composites. Composites Science and Technology 249, 110491.
S.M. Mirkhalaf, R. Vadizadeh (2024). Micro-mechanical modeling of semi-crystalline polymers: A review. International Journal of Solids and Structures 290, 112691.
S.M. Mirkhalaf, I. Rocha (2024). Micromechanics-based deep-learning for composites: Challenges and future perspectives. European Journal of Mechanics / A Solids 105, 105242.
H.L. Cheung, S.M. Mirkhalaf, (2024). A multi-fidelity data-driven model for highly accurate and computationally efficient modeling of short fiber composites. Composites Science and Technology 246, 110359.
E. Ghane, M. Fagerström, S.M. Mirkhalaf, (2023). A multiscale deep learning model for elastic properties of woven composites. International Journal of Solids and Structures 282, 112452.
N. Mentges, H. Celik, C. Hopmann, M. Fagerström, S.M. Mirkhalaf, (2023). Micromechanical modelling of short fibre composites considering fibre length distributions. Composites Part B: Engineering 264, 110868.
J. Friemann, B. Dashtbozorg, M. Fagerström, S.M. Mirkhalaf, (2023). A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites. International Journal of Numerical Methods in Engineering 24: 2292–2314.
M. Soleimani, B. Dashtbozorg, M. Mirkhalaf, S.M. Mirkhalaf, (2023). A multiphysics-based artificial neural networks model for atherosclerosis. Heliyon 9, e17902.
R. Mahshid, M. Naem Isfahani, M. Heidari-Rarani, S.M. Mirkhalaf, (2023). Recent advances in development of additively manufactured thermosets and fiber reinforced thermosetting composites: technologies, materials, and mechanical properties. Composites Part A: Applied Science and Manufacturing 171, 107584.
M. Heidari-Rarani, M. Asdollahtabar, S.M. Mirkhalaf, (2023). Experimental investigation and micromechanics-based damage modeling of tensile failure of polymer concrete reinforced with recycled PET bottles. Engineering Failure Analysis 148, 107197.
B. Castricum, M. Fagerström, M. Ekh, F. Larsson, S.M. Mirkhalaf, (2022). A computationally efficient coupled multi-scale model for short fiber reinforced composites. Composites Part A: Applied Science and Manufacturing 163, 107233.
S.M. Mirkhalaf, T.J.H. van Beurden, M. Ekh, F. Larsson, M. Fagerström, (2022). An FE-based orientation averaging model for elasto-plastic behavior of short fiber composites. International Journal of Mechanical Sciences 219, 107097.
N. Mentges, B. Dashtbozorg, S.M. Mirkhalaf, (2021). A micromechanics-based artificial neural networks model for elastic properties of short fiber composites. Composites Part B: Engineering, 108736.
S.M. Mirkhalaf, M. Fagerström, (2021). The mechanical behaviour Polylactic acid (PLA) films: Fabrication, experiments and modelling. Mechanics of Time-Dependent Materials 25, 119–131.
S.M. Mirkhalaf, E.H. Eggels, T.J.H. van Beurden, F. Larsson, M. Fagerström, (2020). A finite element based orientation averaging method for predicting elastic properties of short fiber reinforced composites. Composites, Part B: Engineering 202, 108388.
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