Computational Methods for Parachute Fluid–Structure Interactions

By Kenji Takizawa, Tayfun E. Tezduyar. 2012

204 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/8c56ea46ca4a6e5c967254efea4ddbd7fc401b13

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Jinhui Yan
2. Qiming Zhu
3. Zeliang Liu

Citations in the corpus

• Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks (2020, background): “A “hard” approach for imposing Dirichlet boundary condition, which exactly imposes the prescribed value and speeds up the learning process.”