| A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials D Bishara, Y Xie, WK Liu, S Li Archives of computational methods in engineering 30 (1), 191-222, 2023 | 54 | 2023 |
| A deep neural network inverse solution to recover pre-crash impact data of car collisions Q Chen, Y Xie, Y Ao, T Li, G Chen, S Ren, C Wang, S Li Transportation research part C: emerging technologies 126, 103009, 2021 | 33 | 2021 |
| Multiscale modeling of dislocation patterns and simulation of nanoscale plasticity in body-centered cubic (BCC) single crystals LW Zhang, Y Xie, D Lyu, S Li Journal of the Mechanics and Physics of Solids 130, 297-319, 2019 | 18 | 2019 |
| A generalized Bayesian regularization network approach on characterization of geometric defects in lattice structures for topology optimization in preliminary design of 3D printing Y Xie, S Li, CT Wu, D Lyu, C Wang, D Zeng Computational Mechanics 69 (5), 1191-1212, 2022 | 12 | 2022 |
| A feed-forwarded neural network-based variational Bayesian learning approach for forensic analysis of traffic accident Y Xie, CT Wu, B Li, X Hu, S Li Computer Methods in Applied Mechanics and Engineering 397, 115148, 2022 | 11 | 2022 |
| A stress-driven computational homogenization method based on complementary potential energy variational principle for elastic composites Y Xie, S Li Computational Mechanics 67 (2), 637-652, 2021 | 11 | 2021 |
| Geometrically-Compatible Dislocation Pattern and Modeling of Crystal Plasticity in Body-Centered Cubic (BCC) Crystal at Micron Scale Dedicated to Professor Karl Stark Pister … Y Xie, S Li CMES-Computer Modeling in Engineering & Sciences 129 (3), 2021 | 9 | 2021 |
| Finite temperature atomistic‐informed crystal plasticity finite element modeling of single crystal tantalum (‐Ta) at micron scale Y Xie, S Li International Journal for Numerical Methods in Engineering 122 (17), 4660-4697, 2021 | 8 | 2021 |
| An adhesive Gurtin-Murdoch surface hydrodynamics theory of moving contact line and modeling of droplet wettability on soft substrates Y Xie, S Li, X Hu, D Bishara Journal of Computational Physics 456, 111074, 2022 | 5 | 2022 |
| A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset Y Xie, S Li, CT Wu, Z Lai, M Su Journal of Intelligent Manufacturing 35 (2), 633-646, 2024 | 3 | 2024 |
| A Bayesian regularization network approach to thermal distortion control in 3D printing Y Xie, B Li, C Wang, K Zhou, CT Wu, S Li Computational Mechanics 72 (1), 137-154, 2023 | 3 | 2023 |
| A boundary identification approach for the feasible space of structural optimization using a virtual sampling technique-based support vector machine H Cao, H Li, W Sun, Y Xie, B Huang Computers & Structures 287, 107118, 2023 | 2 | 2023 |
| On the deformation of CRTS-Ⅲ ballastless track during the casting process of self-compacting concrete: Numerical simulations and random forest-based prediction models M Su, Q Chong, H Xie, Y Xie, Z Zeng Engineering Structures 307, 117870, 2024 | | 2024 |
| Microstructural heterogeneity induced by thermal accumulation in a nickelÀaluminumÀbronze alloy additively manufactured via directed energy deposition B Li, C Han, Y Xie, PJDS Bartolo, K Zhou | | 2023 |
| Microstructural heterogeneity induced by thermal accumulation in a nickel–aluminum–bronze alloy additively manufactured via directed energy deposition B Li, C Han, Y Xie, PJDS Bartolo, K Zhou CIRP Annals 72 (1), 133-136, 2023 | | 2023 |
| Atomistic-informed Finite Temperature Crystal Plasticity Finite Element Modeling of Body-centered Cubic Single Crystals Y Xie University of California, Berkeley, 2021 | | 2021 |
| A Feed-Forwarded Neural Network-Based Variational Bayesian Learning Approach for Forensic Analysis of Traffic Collision Y Xie, CT Wu, B Li, X Hu, S Li Available at SSRN 4016303, 0 | | |
Shaofan LiProfessor of Applied and Computational Mechanics, University of California-BerkeleyVerified email at berkeley.edu
