most citedBayesian Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing Using Experimental Data

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

collaborators

1 paper

stat.AP2021★ 17 cited

Bayesian Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing Using Experimental Data

Ziyu Xie, Wen Jiang, Congjian Wang +1

Additive manufacturing (AM) technology is being increasingly adopted in a wide variety of application areas due to its ability to rapidly produce, prototype, and customize designs.…