| Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling T Qu, S Guan, YT Feng, G Ma, W Zhou, J Zhao International Journal of Plasticity 164, 103576, 2023 | 47 | 2023 |
| Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm F Yao, S Guan, H Yang, Y Chen, H Qiu, G Ma, Q Liu Water Science and Engineering 12 (3), 196-204, 2019 | 35 | 2019 |
| A predictive deep learning framework for path-dependent mechanical behavior of granular materials G Ma, S Guan, Q Wang, YT Feng, W Zhou Acta Geotechnica 17 (8), 3463-3478, 2022 | 28 | 2022 |
| A machine learning-based multi-scale computational framework for granular materials S Guan, T Qu, YT Feng, G Ma, W Zhou Acta Geotechnica 18 (4), 1699-1720, 2023 | 23 | 2023 |
| Data-driven multiscale modelling of granular materials via knowledge transfer and sharing T Qu, J Zhao, S Guan, YT Feng International Journal of Plasticity 171, 103786, 2023 | 21 | 2023 |
| Data-driven strain–stress modelling of granular materials via temporal convolution neural network M Wang, T Qu, S Guan, T Zhao, B Liu, YT Feng Computers and Geotechnics 152, 105049, 2022 | 21 | 2022 |
| Interfacial shearing behavior analysis of rockfill using FDEM simulation with irregularly shaped particles F Yao, G Ma, S Guan, Y Chen, Q Liu, C Feng International Journal of Geomechanics 20 (3), 04019193, 2020 | 9 | 2020 |
| A neural network-based material cell for elastoplasticity and its performance in FE analyses of boundary value problems S Guan, X Zhang, S Ranftl, T Qu International Journal of Plasticity 171, 103811, 2023 | 7 | 2023 |
| An explicit FEM-NN framework and the analysis of error caused by NN-predicted stress S Guan, YT Feng, G Ma, T Qu, M Wang, W Zhou Acta Geotechnica 19 (4), 1815-1834, 2024 | 4 | 2024 |
| Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable M Wang, YT Feng, S Guan, T Qu Journal of Rock Mechanics and Geotechnical Engineering, 2024 | 4 | 2024 |
| Experimental and numerical investigation of the collapse of binary mixture of particles with different densities M Wang, L Liang, S Guan, G Ma, Z Lai, X Niu, S Zhang, W Tian, W Zhou Powder Technology 415, 118167, 2023 | 4 | 2023 |
| GPM-PeNN: A generalized plasticity model-based data-driven constitutive modeling framework using physics-encoded neural network J Wang, G Ma, T Qu, S Guan, W Zhou, X Chang Computer Methods in Applied Mechanics and Engineering 436, 117694, 2025 | | 2025 |
| Physics-Consistency Condition for Infinite Neural Networks and Experimental Characterization S Ranftl, S Guan Physical Sciences Forum 9 (1), 15, 2023 | | 2023 |
| A recurrent machine learning structure for few-shot constitutive model optimization: Application to Geomechanics S Guan, S Ranftl | | |
