Mojtaba Mozaffar

Deep learning predicts path-dependent plasticity

Mojtaba Mozaffar, Ramin Bostanabad, W. Chen et al. · Proceedings of the National Academy of Sciences · 2019 · 601 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

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

Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing

Wentao Yan, Stephen Lin, Orion L. Kafka et al. · Computational Mechanics · 2018 · 253 citations

Engineering, Manufacturing Engineering, Materials Engineering +14

Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

Mojtaba Mozaffar, Arindam Paul, Reda Al-Bahrani et al. · Manufacturing Letters · 2018 · 187 citations

Computing, Computational Engineering, Mechanical Engineering +16

Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives

Mojtaba Mozaffar, Shuheng Liao, Xiaoyu Xie et al. · Journal of Materials Processing Technology · 2021 · 135 citations

Engineering, Industrial Engineering, Manufacturing Engineering +16