most citedMachine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks

17 citations · 17 across the 1 of their papers we have counts for

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1 paper

cs.CE2020★ 17 cited

Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Qiming Zhu, Zeliang Liu, Jinhui Yan

The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great potential in the breakthrough of metal additive manufacturing (AM) process modeling. Howe…