Cover Image

Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yingxue, Li, Haoran, Zhou, Haosu, Pfaff, Tobias, Li, Nan
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A review of graph neural network applications in mechanics-related domains
by: Zhao, Yingxue, et al.
Published: (2024)

A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components
by: Li, Haoran, et al.
Published: (2025)

RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
by: Zhou, Changjian, et al.
Published: (2024)

Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
by: Chen, Dongsheng, et al.
Published: (2025)

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure
by: Qin, Yigong, et al.
Published: (2024)

A low order, torsion deformable spatial beam element based on the absolute nodal coordinate formulation and Bishop frame
by: Ebrahimi, Mehran, et al.
Published: (2024)

PINN-MG: A physics-informed neural network for mesh generation
by: Wang, Min, et al.
Published: (2025)

Domain decomposition of large neural network surrogate models
by: Gödde, Timm, et al.
Published: (2026)

Physics-informed neural networks with curriculum training for poroelastic flow and deformation processes
by: Bekele, Yared W.
Published: (2024)

Energy-based physics-informed neural network for frictionless contact problems under large deformation
by: Bai, Jinshuai, et al.
Published: (2024)

Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation
by: Malé, Quentin, et al.
Published: (2024)

Nonlinear electro-elastic finite element analysis with neural network constitutive models
by: Klein, Dominik K., et al.
Published: (2024)

Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
by: Perera, Roberto, et al.
Published: (2024)

Test-time data augmentation: improving predictions of recurrent neural network models of composites
by: Uvdal, Petter, et al.
Published: (2024)

Co-design of magnetic soft robots with large deformation and contacts via material point method and topology optimization
by: Wang, Liwei
Published: (2025)

Surface profile recovery from electromagnetic field with physics--informed neural networks
by: Chen, Yuxuan, et al.
Published: (2024)

Physics-informed neural networks for form-finding of unilateral membrane structures
by: Sibille, Luigi, et al.
Published: (2026)

A novel boundary integrated neural networks for in plane fracture mechanics analysis of elastic and piezoelectric materials
by: Zhang, Peijun, et al.
Published: (2025)

A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline
by: Du, Jian, et al.
Published: (2024)

A Dual-Path neural network model to construct the flame nonlinear thermoacoustic response in the time domain
by: Wu, Jiawei, et al.
Published: (2024)

Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
by: Stollberg, Jonathan, et al.
Published: (2024)

ViT-Transformer: Self-attention mechanism based constitutive modeling for nonlinear heterogeneous materials
by: Zhou, Yijing, et al.
Published: (2025)

Learning coupled Allen-Cahn and Cahn-Hilliard phase-field equations using Physics-informed neural operator(PINO)
by: Gangmei, Gaijinliu, et al.
Published: (2025)

Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
by: Go, Jinwoo, et al.
Published: (2024)

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network
by: Cai, Yuecheng, et al.
Published: (2025)

Deep material networks for fiber suspensions with infinite material contrast
by: Sterr, Benedikt, et al.
Published: (2024)

A remedy to mitigate tensile instability in SPH for simulating large deformation and failure of geomaterials
by: Jana, Tapan, et al.
Published: (2024)

A force-based beam element model based on the modified higher-order shear deformation theory for accurate analysis of FG beams
by: Li, Wenxiong, et al.
Published: (2023)

Bayesian uncertainty analysis for underwater 3D reconstruction with neural radiance fields
by: Lian, Haojie, et al.
Published: (2024)

Automated machine learning for physics-informed convolutional neural networks
by: Zhou, Wanyun, et al.
Published: (2024)

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
by: Ouyang, Weihang, et al.
Published: (2025)

Phase-field and lip-field approaches for fracture with extreme mesh deformation (X-Mesh): a one-dimensional study
by: Moës, Nicolas, et al.
Published: (2025)

A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals
by: Wei, Yuxiang, et al.
Published: (2024)

A cable finite element formulation based on exact tension field for static nonlinear analysis of cable structures
by: Li, Wenxiong, et al.
Published: (2024)

Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
by: Rahnemoonfar, Maryam, et al.
Published: (2024)

Convolutional neural network based reduced order modeling for multiscale problems
by: Zhang, Xuhan, et al.
Published: (2024)

Inverse design of anisotropic microstructures using physics-augmented neural networks
by: Jadoon, Asghar A., et al.
Published: (2024)

Real-time design of architectural structures with differentiable mechanics and neural networks
by: Pastrana, Rafael, et al.
Published: (2024)

A coupled finite element-virtual element method for thermomechanical analysis of electronic packaging structures
by: Gong, Yanpeng, et al.
Published: (2025)

A plastic correction algorithm for full-field elasto-plastic finite element simulations : critical assessment of predictive capabilities and improvement by machine learning
by: Palchoudhary, Abhishek, et al.
Published: (2024)