PSI - Issue 71

A Shivnag Sharma et al. / Procedia Structural Integrity 71 (2025) 469–476

476

Gorji, M.B., Mozaffar, M., Heidenreich, J.N., Cao, J., Mohr, D., 2020. On the potential of recurrent neural networks for modeling path dependent plasticity. J. Mech. Phys. Solids 103972. Ibragimova, O.,Muhammad, W., Brahme, A.P., Levesque, J., Inal, K., 2020. A new ANN based crystal plasticity model for FCC materials and its application to non-monotonic strain paths. Int. J. Plast. 144, 103059. Ibragimova, O.,Muhammad, W., Brahme, A.P., Levesque, J., Inal, K., 2020. A convolutional neural network-based crystal plasticity finite element framework to predict localised deformation in metals. Int. J. Plast. 157, 103374. Kalidindi, S. R., Bronkhorst, C. A., Anand, L., 1992. Crystallographic texture evolution in bulk deformation processing of FCC metals. Journal of the Mechanics and Physics of Solids 40(3), 537–569. Li, X., Roth, C.C., Mohr, D., 2019. Machine-learning based temperature-and rate-dependent plasticity model: application to analysis of fracture experiments on DP steel. Int. J. Plast. 118, 320–344. Mangal, A., Holm, E.A., 2018. A dataset of synthetic face centered cubic 3D polycrystalline microstructures, grain-wise microstructural descriptors and grain averaged stress fields under uniaxial tensile deformation. Data Brief 19, 2029–2036. Mozaffar, M., Bostanabad, R., Chen, W., Ehmann, K., Cao, J., Bessa, M., 2019. Deep learning predicts path-dependent plasticity. Proc. Natl. Acad. Sci. 116 (52), 26414–26420. Muhammad, W., Brahme, A.P., Ibragimova, O., Kang, J., Inal, K., 2020. A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys. Int. J. Plast. 136, 102867. Yuwei Mao, Shahriyar Keshavarz, Muhammed Nur Talha Kilic, Kewei Wang, Youjia Li, Andrew C.E. Reid, Wei-keng Liao, Alok Choudhary, Ankit Agrawal, A deep learning-based crystal plasticity finite element model, Scripta Materialia, 254, 2025. Yuanzhe Hu, Guowei Zhou, Myoung-Gyu Lee, Peidong Wu, Dayong Li, A temporal graph neural network for cross-scale modelling of polycrystals considering microstructure interaction, International Journal of Plasticity, 179, 2024.