| Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering S Saha, Z Gan, L Cheng, J Gao, OL Kafka, X Xie, H Li, M Tajdari, HA Kim, ... Computer Methods in Applied Mechanics and Engineering 373, 113452, 2021 | 166 | 2021 |
| A multiscale elasto-plastic damage model for the nonlinear behavior of 3D braided composites C He, J Ge, D Qi, J Gao, Y Chen, J Liang, D Fang Composites Science and Technology 171, 21-33, 2019 | 161 | 2019 |
| Uncertainty quantification in multiscale simulation of woven fiber composites R Bostanabad, B Liang, J Gao, WK Liu, J Cao, D Zeng, X Su, H Xu, Y Li, ... Computer Methods in Applied Mechanics and Engineering 338, 506-532, 2018 | 150 | 2018 |
| A hierarchical multiscale model for the elastic-plastic damage behavior of 3D braided composites at high temperature C He, J Ge, B Zhang, J Gao, S Zhong, WK Liu, D Fang Composites Science and Technology 196, 108230, 2020 | 120 | 2020 |
| Clustering discretization methods for generation of material performance databases in machine learning and design optimization H Li, OL Kafka, J Gao, C Yu, Y Nie, L Zhang, M Tajdari, S Tang, X Guo, ... Computational Mechanics 64, 281-305, 2019 | 111 | 2019 |
| Hierarchical deep-learning neural networks: finite elements and beyond L Zhang, L Cheng, H Li, J Gao, C Yu, R Domel, Y Yang, S Tang, WK Liu Computational Mechanics 67, 207-230, 2021 | 97 | 2021 |
| A micro-scale cutting model for UD CFRP composites with thermo-mechanical coupling H Cheng, J Gao, OL Kafka, K Zhang, B Luo, WK Liu Composites Science and Technology 153, 18-31, 2017 | 88 | 2017 |
| Efficient multiscale modeling for woven composites based on self-consistent clustering analysis X Han, J Gao, M Fleming, C Xu, W Xie, S Meng, WK Liu Computer Methods in Applied Mechanics and Engineering 364, 112929, 2020 | 73 | 2020 |
| Predictive multiscale modeling for unidirectional carbon fiber reinforced polymers J Gao, M Shakoor, G Domel, M Merzkirch, G Zhou, D Zeng, X Su, WK Liu Composites Science and Technology 186, 107922, 2020 | 58 | 2020 |
| Multi-scale modeling of mechanical behavior of cured woven textile composites accounting for the influence of yarn angle variation B Liang, W Zhang, JS Fenner, J Gao, Y Shi, D Zeng, X Su, WK Liu, J Cao Composites Part A: Applied Science and Manufacturing 124, 105460, 2019 | 56 | 2019 |
| A data-driven self-consistent clustering analysis for the progressive damage behavior of 3D braided composites C He, J Gao, H Li, J Ge, Y Chen, J Liu, D Fang Composite Structures 249, 112471, 2020 | 42 | 2020 |
| From microscale to mesoscale: The non-linear behavior prediction of 3D braided composites based on the SCA2 concurrent multiscale simulation C He, J Ge, J Gao, J Liu, H Chen, WK Liu, D Fang Composites Science and Technology 213, 108947, 2021 | 29 | 2021 |
| Stochastic nonlinear analysis of unidirectional fiber composites using image-based microstructural uncertainty quantification T Huang, J Gao, Q Sun, D Zeng, X Su, WK Liu, W Chen Composite Structures 260, 113470, 2021 | 28 | 2021 |
| Concurrent n-scale modeling for non-orthogonal woven composite J Gao, S Mojumder, W Zhang, H Li, D Suarez, C He, J Cao, WK Liu Computational Mechanics 70 (4), 853-866, 2022 | 19 | 2022 |
| An inverse modeling approach for predicting filled rubber performance J Gao, M Shakoor, H Jinnai, H Kadowaki, E Seta, WK Liu Computer Methods in Applied Mechanics and Engineering 357, 112567, 2019 | 18 | 2019 |
| Data-driven representation and clustering discretization method and system for design optimization and/or performance prediction of material systems and applications of same WK Liu, J Gao, C Yu, OL Kafka US Patent App. 17/273,438, 2021 | 16 | 2021 |
| Multiscale simulation of fiber composites with spatially varying uncertainties R Bostanabad, B Liang, A van Beek, J Gao, WK Liu, J Cao, D Zeng, X Su, ... Uncertainty Quantification in Multiscale Materials Modeling, 355-384, 2020 | 14 | 2020 |
| Multiscale modeling of carbon fiber reinforced polymer (CFRP) for integrated computational materials engineering process J Gao, B Liang, W Zhang, Z Liu, P Cheng, R Bostanabad, J Cao, W Chen, ... Ford Motor Company, Detroit, MI (United States), 2017 | 14 | 2017 |
| Self-consistent clustering analysis for modeling of theromelastic heterogeneous materials S Mojumder, J Gao, WK Liu AIP Conference Proceedings 2324 (1), 2021 | 12 | 2021 |
| Integrated process-structure-property modeling frameworks and methods for design optimization and/or performance prediction of material systems and applications of same WK Liu, J Gao, C Yu, OL Kafka US Patent 11,783,100, 2023 | 8 | 2023 |
Wing Kam LiuWalter P. Murphy Professor of Mechanical Engineering在 northwestern.edu 的电子邮件经过验证
