Very high cycle fatigue life prediction of Ti60 alloy based on machine learning with data enhancement

On the potential of recurrent neural networks for modeling path dependent plasticity

Maysam B. Gorji, Mojtaba Mozaffar, Julian N. Heidenreich et al. · Journal of the Mechanics and Physics of Solids · 2020 · 297 citations

Life Sciences, Neuroscience, Computational Neuroscience +11

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges

Uwe Zerbst, Giovanni Bruno, Jean‐Yves Buffière et al. · Progress in Materials Science · 2021 · 253 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +16

High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

Meng Zhang, Chen‐Nan Sun, Xiang Zhang et al. · International Journal of Fatigue · 2019 · 245 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +15

A machine learning approach to fracture mechanics problems

Xing Liu, Christos E. Athanasiou, Nitin P. Padture et al. · Acta Materialia · 2020 · 242 citations · Full text

Engineering, Computer Science, Materials Engineering +12

Machine learning-based predictions of fatigue life and fatigue limit for steels

Lei He, ZhiLei Wang, Hiroyuki AKEBONO et al. · Journal of Material Science and Technology · 2021 · 161 citations

Engineering, Materials Engineering, Materials Science +16