| An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications E Samaniego, C Anitescu, S Goswami, VM Nguyen-Thanh, H Guo, ... Computer Methods in Applied Mechanics and Engineering 362, 112790, 2020 | 1415 | 2020 |
| A deep collocation method for the bending analysis of Kirchhoff plate H Guo, X Zhuang, T Rabczuk Cmc-computers Materials & Continua 59 (2), 433-456, 2018 | 511 | 2018 |
| Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning X Zhuang, H Guo, N Alajlan, H Zhu, T Rabczuk European Journal of Mechanics-A/Solids 87, 104225, 2021 | 314 | 2021 |
| Intelligent on-demand design of phononic metamaterials Y Jin, L He, Z Wen, B Mortazavi, H Guo, D Torrent, B Djafari-Rouhani, ... Nanophotonics 11 (3), 439-460, 2022 | 99 | 2022 |
| Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media H Guo, X Zhuang, P Chen, N Alajlan, T Rabczuk Engineering with Computers 38 (6), 5173-5198, 2022 | 85 | 2022 |
| Numerical manifold method for vibration analysis of Kirchhoff's plates of arbitrary geometry H Guo, H Zheng, X Zhuang Applied Mathematical Modelling 66, 695-727, 2019 | 67 | 2019 |
| Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis H Guo, X Zhuang, P Chen, N Alajlan, T Rabczuk Engineering with Computers 38 (6), 5423-5444, 2022 | 65 | 2022 |
| Machine-learning-driven on-demand design of phononic beams L He, H Guo, Y Jin, X Zhuang, T Rabczuk, Y Li Science China Physics, Mechanics & Astronomy 65 (1), 214612, 2022 | 58 | 2022 |
| Boundary settings for the seismic dynamic response analysis of rock masses using the numerical manifold method Y Yang, H Guo, X Fu, H Zheng International Journal for Numerical and Analytical Methods in Geomechanics …, 2018 | 56 | 2018 |
| Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials H Guo, X Zhuang, X Fu, Y Zhu, T Rabczuk Computational Mechanics 72 (3), 513-524, 2023 | 41 | 2023 |
| The linear analysis of thin shell problems using the numerical manifold method H Guo, H Zheng Thin-Walled Structures 124, 366-383, 2018 | 35 | 2018 |
| A deep collocation method for heat transfer in porous media: verification from the finite element method J Lin, S Zhou, H Guo Journal of Energy Storage 28, 101280, 2020 | 24 | 2020 |
| Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning H Guo, X Zhuang, N Alajlan, T Rabczuk Computers & Mathematics with Applications 143, 303-317, 2023 | 22 | 2023 |
| A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability S Lin, Z Liang, S Zhao, M Dong, H Guo, H Zheng International Journal of Mechanics and Materials in Design 20 (2), 331-352, 2024 | 16 | 2024 |
| GMLS-based numerical manifold method in mechanical analysis of thin plates with complicated shape or cutouts H Guo, S Lin, H Zheng Engineering Analysis with Boundary Elements 151, 597-623, 2023 | 15 | 2023 |
| A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems H Guo, ZY Yin Computer Methods in Applied Mechanics and Engineering 421, 116819, 2024 | 11 | 2024 |
| Hermitian numerical manifold method for large deflection of irregular Föppl-von Kármán plates H Guo, X Cao, Z Liang, S Lin, H Zheng, H Cui Engineering Analysis with Boundary Elements 153, 25-38, 2023 | 10 | 2023 |
| An explicit improved meshless numerical manifold method for dynamic crack propagation W Li, S Lin, Z Wang, H Guo, X Yu Theoretical and Applied Fracture Mechanics 130, 104293, 2024 | 8 | 2024 |
| Material design with topology optimization based on the neural network B Li, H Guo, X Zhuang International Journal of Computational Methods 19 (08), 2142013, 2022 | 8 | 2022 |
| Predicting earthquake-induced soil liquefaction based on machine learning classifiers: A comparative multi-dataset study H Guo, X Zhuang, J Chen, H Zhu International Journal of Computational Methods 19 (08), 2142004, 2022 | 8 | 2022 |
