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[1]Peng Lan, Jingjing Su, Jie Chen, Shuihua Jiang, JinSong Huang, Shuairun Zhu, Sheng Zhang.A rapid unsaturated infiltration prediction method for slope stability analysis considering uncertainties: Deep operator networks.Engineering Geology, 2025
[2]Peng Lan, Jing-Jing Su, Sheng Zhang, Surrogate modeling for unsaturated infiltration via the physics and equality-constrained artificial neural networks[J].Journal of Rock Mechanics and Geotechnical Engineering, 2023
[3]Peng Lan, Jing-Jing Su, Sheng Zhang, Shuairun Zhu, Jinsong Huang.Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning[J].Computers and Geotechnics, 2024, 168: 106162.
[4]Jing-Jing Su, Sheng Zhang, Peng Lan, Xiaofeng Chen.Explorations of certain nonlinear waves of the Boussinesq and Camassa–Holm equations using physics-informed neural networks[J].Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2024, 480: 20230580.
[5]Peng Lan, Jing-Jing Su, Sheng Zhang, Xin-yan Ma.Application of improved physics-informed neural networks for nonlinear consolidation problems with continuous drainage boundary conditions[J].Acta Geotechnica, 2023
[6]张升, 苏晶晶, 兰鹏, 熊海斌.基于PINNs算法的地下水渗流模型求解及参数反演[J].岩土工程学报, 2022, 45 (2) : 376-383.
[7]张升, 苏晶晶, 张桐, 盛岱超.多孔介质中颗粒迁移细观理论与数值研究[J].铁道科学与工程学报, 2022
[8]Jing-Jing Su, Yi-Tian Gao, Gao-Fu Deng and Ting-Ting Jia, Solitary waves, breathers, and rogue waves modulated by long waves for a model of a baroclinic shear flow[J].Physical Review E, 2019, 100: 042210.
[9]Sheng Zhang, Jing-Jing Su, Peng Lan.Wave-packet behaviors of the defocusing nonlinear Schrodinger equation based on the modified physics-informed neural networks (Featured Article)[J].Chaos, 2021, 31: 113107.
[10]Jing-Jing Su, Sheng Zhang, Cui-Cui Ding.Spatiotemporal distortion effects and interaction properties for certain nonlinear waves of the generalized AB system.Nonlinear Dynamics, 2021, 106: 2415–2429.
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