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Jinshuai Bai — most-cited papers & profile · AI for Science
← authors
·
overview
Jinshuai Bai
6
papers ·
158
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
2024 · 154 citations
Energy-based physics-informed neural network for frictionless contact problems under large deformation
2024 · 3 citations
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs
2023 · 1 citations
Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)
2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
2025
A Pretraining-Finetuning Computational Framework for Material Homogenization
2024
Top co-authors
Timon Rabczuk
· 5
Yizheng Wang
· 5
Cosmin Anitescu
· 3
Mohammad Sadegh Eshaghi
· 3
Xiaoying Zhuang
· 3
Yinghua Liu
· 3
Xi-Qiao Feng
· 2
Yinghua Liu
· 2
YuanTong Gu
· 2
Ashish Gupta
· 1
Bokai Liu
· 1
Gui-Rong Liu
· 1
Topics
Physics ML
Materials
Math & Equations