AT-PINN: Advanced time-marching physics-informed neural network for structural vibration analysis

Chen, Zhaolin / Lai, Siu-Kai / Yang, Zhichun | Elsevier | 2023

Smart control of bridge support forces using adaptive bearings based on physics-informed neural network (PINN)

Yan, Huan / Gou, Hong-Ye / Hu, Fei et al. | Elsevier | 2024

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

Hu, Haoteng / Qi, Lehua / Chao, Xujiang | Elsevier | 2024

E-PINN: A fast physics-informed neural network based on explicit time-domain method for dynamic response prediction of nonlinear structures

Su, Cheng / Liang, Jingwei / He, Zengsheng | Elsevier | 2024

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)

Lu, Yue / Mei, Gang / Piccialli, Francesco | ArXiv | 2022