[1].Kai Liu; Weiwei Liu; Shaowei Wu; Boqun Xie; Xin Liu*; Intelligent prediction of crack stress intensity factors for nuclear-grade pressure vessels based on XFEM-PSONN collaboration, International Journal of Pressure Vessels and Piping, 2025, 221(105744). [2].Kai Liu; Shangbin Gao; Zhonghua Wang; Xiazi Xiao*; Chao Jiang*; Model for the hardness-depth relationships of ion-irradiated nanocrystalline metals, Journal of Materials Research and Technology, 2023, 27:2847-2855. [3].Kai Liu*; Ting Liu; Liang Xia; Model for the nanoindentation hardness-depth relationships of ion-irradiated bicrystals with grain boundary effect, Nuclear Materials and Energy, 2026,46(102074). [4].Kai Liu; Xin Leng; Ting Liu; Wangwang Liao; Weipeng Li; Xiangyun Long*; A Data-Efficient Physics-Informed Neural Network Framework for Reliable Irradiation Hardening Assessment in Nanocrystalline materials, Nuclear Engineering and Technology, 2026, 58(7): 104256. [5].Liu Kai, Zhang B Y, Long X Y, Deng H Q, Xiao X Z, Jiang C. Revealing the hardening mechanisms of ion-irradiated nanostructured multilayers/substrate systems: A theoretical model. International Journal of Plasticity, 2021, 138: 102925. [6].Liu X, Wan Jun, Jia W Q, Peng X, Wu S W, Liu Kai*. An Intelligent Evidence-Theory-Based Structural Reliability Analysis Method Based on Convolutional Neural Network Model. Computer Methods in Applied Mechanics and Engineering, 2024, 421: 116804. [7].Liu X, Lai H, W X Y, Song X G, Liu Kai*, Wu S W. Aerospace Structural Reliability Analysis Method Based on Regular Vine Copula Model with the Asymmetric Tail Correlation. Aerospace Science and Technology, 2023, 142, part B: 108670. |