The novel graph transformer-based surrogate model for learning physical systems DOI
Bo Feng, Xiaoping Zhou

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 432, P. 117410 - 117410

Published: Oct. 2, 2024

Language: Английский

Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications DOI

Haoteng Hu,

Lehua Qi, Xujiang Chao

et al.

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: 205, P. 112495 - 112495

Published: Sept. 24, 2024

Language: Английский

Citations

35
A Review on Data-Driven Constitutive Laws for Solids DOI
Jan N. Fuhg,

Govinda Anantha Padmanabha,

Nikolaos Bouklas

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 3, 2024

Language: Английский

Citations

30
Data-driven reliability-based topology optimization by using the extended multi scale finite element method and neural network approach DOI
Zeng Meng,

Shunsheng Lv,

Yongxin Gao

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 438, P. 117837 - 117837

Published: Feb. 17, 2025

Language: Английский

Citations

2
Exploring energy minimization to model strain localization as a strong discontinuity using Physics Informed Neural Networks DOI

Omar León,

Victor José Ramirez Rivera, Angel Vázquez‐Patiño

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 436, P. 117724 - 117724

Published: Jan. 11, 2025

Language: Английский

Citations

1
A novel graph networks based learnable physics engines for crack propagation and coalescence in solid mechanics DOI
Kai Feng, Xiaoping Zhou

Engineering Fracture Mechanics, Journal Year: 2025, Volume and Issue: unknown, P. 110800 - 110800

Published: Jan. 1, 2025

Language: Английский

Citations

0
Phase-field hydraulic fracturing operator network based on En-DeepONet with integrated physics-informed mechanisms DOI
Xiaoqiang Wang, Peichao Li, Detang Lu

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 437, P. 117750 - 117750

Published: Jan. 21, 2025

Language: Английский

Citations

0
Physics-Informed Neural Network (Pinn)-Based Numerical Simulation of Concrete Mechanical Responses DOI
Yongzhen Ke, Chun‐Wei Liu, Shuzhe Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Neural networks meet phase-field: A hybrid fracture model DOI
Franz Dammaß, Karl A. Kalina, Markus Kästner

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 440, P. 117937 - 117937

Published: April 1, 2025

Language: Английский

Citations

0
Energy budget in geomaterials fracture: analysis using non-local ductile damage model DOI Creative Commons
Yijun Chen, Mostafa E. Mobasher, Dongjian Zheng

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Predicting crack nucleation and propagation in brittle materials using Deep Operator Networks with diverse trunk architectures DOI

Elham Kiyani,

M. Manav,

Nikhil Kadivar

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 441, P. 117984 - 117984

Published: April 19, 2025

Language: Английский

Citations

0