Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. - Yizheng Wang; Jia Sun; Jinshuai Bai; Cosmin Anitescu; Mohammad Sadegh Eshaghi; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams. - Mohammad Sadegh Eshaghi; Mostafa Bamdad; Cosmin Anitescu; Yizheng Wang; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2024)

Artificial intelligence for partial differential equations in computational mechanics: A review. - Yizheng Wang; Jinshuai Bai; Zhongya Lin; Qimin Wang; Cosmin Anitescu; Jia Sun; Mohammad Sadegh Eshaghi; Yuantong Gu; Xi-Qiao Feng; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. - Yizheng Wang; Jinshuai Bai; Mohammad Sadegh Eshaghi; Cosmin Anitescu; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2025)