325 citations · 657 across the 6 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
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…
cs.CE2020★ 21 cited
Intelligent multiscale simulation based on process-guided composite database
Zeliang Liu, Haoyan Wei, Tianyu Huang +1
In the paper, we present an integrated data-driven modeling framework based on process modeling, material homogenization, mechanistic machine learning, and concurrent multiscale si…