| Mechanical properties of graphene oxide: A molecular dynamics study AR Khoei, MS Khorrami Fullerenes, Nanotubes and Carbon Nanostructures 24 (9), 594-603, 2016 | 56 | 2016 |
| Development and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials M Khorrami, JR Mianroodi, P Shanthraj, B Svendsen arXiv preprint arXiv:2009.03762, 2020 | 7 | 2020 |
| An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials MS Khorrami, JR Mianroodi, NH Siboni, P Goyal, B Svendsen, P Benner, ... npj Computational Materials 9 (1), 37, 2023 | 4 | 2023 |
| Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids S Kapoor, JR Mianroodi, M Khorrami, NS Siboni, B Svendsen arXiv preprint arXiv:2210.16994, 2022 | 2 | 2022 |
| Finite-deformation phase-field microelasticity with application to dislocation core and reaction modeling in fcc crystals MS Khorrami, JR Mianroodi, B Svendsen Journal of the Mechanics and Physics of Solids 164, 104897, 2022 | 2 | 2022 |
| On the higher-order pseudo-continuum characterization of discrete kinematic results from experimental measurement or discrete simulation M Khorrami, JR Mianroodi, B Svendsen arXiv preprint arXiv:2112.07418, 2021 | 2 | 2021 |
| Theoretical and algorithmic development of phase-field-based continuum models for microscopic dislocation processes in single crystals and comparison with atomistics MS Khorrami | | 2021 |
| Surrogate modeling of stress fields in periodic polycrystalline microstructures using U-Net and Fourier neural operators S Kapoor, J Mianroodi, B Svendsen, M Khorrami, NH Siboni NeurIPS 2022 AI for Science: Progress and Promises, 0 | | |
