A Data-Driven Approach for Simultaneous Mesh Untangling and Smoothing Using Pointer Networks

A Data-Driven Approach for Simultaneous Mesh Untangling and Smoothing Using Pointer Networks

Poorly-shaped and/or inverted elements negatively affect numerical simulation accuracy and efficiency. Most current approaches consider mesh quality improvement and mesh untangling problems as numerical optimization problems and solve them using nonlinear optimization. However, these optimization-ba...

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Bibliographic Details
Main Authors: Jibum Kim, Junhyeok Choi, Woochul Kang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Mesh smoothing
mesh untangling
pointer network
deep learning
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/9060945/

Internet

https://ieeexplore.ieee.org/document/9060945/

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