Kornel F. Ehmann

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

The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science

Xinyu Liu, Richard E. DeVor, Shiv G. Kapoor et al. · Journal of Manufacturing Science and Engineering · 2004 · 428 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +17

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

Cutting forces in micro-end-milling processes

Xuewei Zhang, Kornel F. Ehmann, Tianbiao Yu et al. · International Journal of Machine Tools and Manufacture · 2016 · 191 citations

Engineering, Industrial Engineering, Manufacturing Engineering +10

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