An introduction to programming Physics-Informed Neural Network-based computational solid mechanics. - Jinshuai Bai; Hyogu Jeong; C. P. Batuwatta-Gamage; Shusheng Xiao; Qingxia Wang; C. M. Rathnayaka; Laith Alzubaidi; Gui-Rong Liu; Yuantong Gu (CoRR, 2022)

Physics-guided deep learning for data scarcity. - Jinshuai Bai; Laith Alzubaidi; Qingxia Wang; Ellen Kuhl; Mohammed Bennamoun; Yuantong Gu (CoRR, 2022)

Physics-informed neural network for friction-involved nonsmooth dynamics problems. - Zilin Li; Jinshuai Bai; Huajing Ouyang; Saulo Martelli; Ming Tang; Hongtao Wei; Pan Liu; Wei-Ron Han; Yuantong Gu (CoRR, 2023)

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs. - Jinshuai Bai; Gui-Rong Liu; Ashish Gupta; Laith Alzubaidi; Xi-Qiao Feng; Yuantong Gu (CoRR, 2023)

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. - Laith Alzubaidi; Aiman Al-Sabaawi; Jinshuai Bai; Ammar Dukhan; Ahmed H. Alkenani; Ahmed Al-Asadi; Haider A. Alwzwazy; Mohamed Manoufali; Mohammed A. Fadhel; Ahmed Shihab Albahri; Catarina Moreira; Chun Ouyang 001; et al. (Int. J. Intell. Syst., 2023)

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. - Ahmed Shihab Albahri; Ali Mohammed; Mohammed A. Fadhel; Alhamzah Alnoor; Noor S. Baqer; Laith Alzubaidi; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Jinshuai Bai; Asma Salhi; José Santamaría; Chun Ouyang 001; et al. (Inf. Fusion, 2023)

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. - Laith Alzubaidi; Jinshuai Bai; Aiman Al-Sabaawi; José Santamaría; Ahmed Shihab Albahri; Bashar Sami Nayyef Al-dabbagh; Mohammed A. Fadhel; Mohamed Manoufali; Jinglan Zhang; Ali H. Al-Timemy; Ye Duan; Amjed Abdullah; et al. (J. Big Data, 2023)

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. - Laith Alzubaidi; Khamael Al-Dulaimi; Asma Salhi; Zaenab Alammar; Mohammed A. Fadhel; Ahmed Shihab Albahri; Abdullah Hussein Alamoodi; Osamah Shihab Albahri; Amjad F. Hasan; Jinshuai Bai; Luke Gilliland; Jing Peng 005; et al. (Artif. Intell. Medicine, 2024)

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. - Yizheng Wang; Xiang Li; Ziming Yan; Yuqing Du; Jinshuai Bai; Bokai Liu; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

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)

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)

Energy-based physics-informed neural network for frictionless contact problems under large deformation. - Jinshuai Bai; Zhongya Lin; Yizheng Wang; Jiancong Wen; Yinghua Liu; Timon Rabczuk; Yuantong Gu; Xi-Qiao Feng (CoRR, 2024)

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. - Laith Alzubaidi; Hussein Khalefa Chlaib; Mohammed A. Fadhel; Yubo Chen 006; Jinshuai Bai; Ahmed Shihab Albahri; Yuantong Gu (Eng. Appl. Artif. Intell., 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)

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues. - Zhongya Lin; Jinshuai Bai; Shuang Li; Xindong Chen; Bo Li; Xi-Qiao Feng (CoRR, 2025)