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20242026
most citedA graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

1 citations · 1 across the 6 of their papers we have counts for

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cs.LG2025

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming

Yingxue Zhao, Qianyi Chen, Haoran Li +5

In recent years, various artificial intelligence-based surrogate models have been proposed to provide rapid manufacturability predictions of material forming processes. However, tr…

eess.SY2025★ 1 cited

A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

Haoran Li, Yingxue Zhao, Haosu Zhou +2

Crashworthiness is a key performance measure in the design of safety-critical vehicle panel components such as B-pillars. Finite element (FE) simulations are widely used to evaluat…