| A review of artificial neural networks in the constitutive modeling of composite materials X Liu, S Tian, F Tao, W Yu Composites Part B: Engineering 224, 109152, 2021 | 227 | 2021 |
| Two-step homogenization of textile composites using mechanics of structure genome X Liu, K Rouf, B Peng, W Yu Composite Structures 171 (1), 252-262, 2017 | 126 | 2017 |
| A novel approach to analyze beam-like composite structures using mechanics of structure genome X Liu, W Yu Advances in Engineering Software 100, 238–251, 2016 | 63 | 2016 |
| Initial failure strength prediction of woven composites using a new yarn failure criterion constructed by deep learning X Liu, F Gasco, J Goodsell, W Yu Composite Structures 230, 111505, 2019 | 60 | 2019 |
| Multiscale structural analysis of textile composites using mechanics of structure genome K Rouf, X Liu, W Yu International Journal of Solids and Structures 136, 89-102, 2018 | 57 | 2018 |
| Multiscale modeling of viscoelastic behaviors of textile composites X Liu, T Tang, W Yu, RB Pipes International Journal of Engineering Science 130, 175-186, 2018 | 56 | 2018 |
| A neural network enhanced system for learning nonlinear constitutive law and failure initiation criterion of composites using indirectly measurable data X Liu, F Tao, W Yu Composite Structures 252, 112658, 2020 | 52 | 2020 |
| Learning nonlinear constitutive laws using neural network models based on indirectly measurable data X Liu, F Tao, H Du, W Yu, K Xu Journal of Applied Mechanics 87 (8), 081003, 2020 | 41 | 2020 |
| A unified approach for thermoelastic constitutive modeling of composite structures X Liu, W Yu, F Gasco, J Goodsell Composites Part B: Engineering 172, 649-659, 2019 | 38 | 2019 |
| Learning composite constitutive laws via coupling Abaqus and deep neural network F Tao, X Liu, H Du, W Yu Composite Structures 272, 114137, 2021 | 32 | 2021 |
| Physics-informed artificial neural network approach for axial compression buckling analysis of thin-walled cylinder F Tao, X Liu, H Du, W Yu AIAA Journal 58 (6), 2737-2747, 2020 | 26 | 2020 |
| Constitutive modeling for time-and temperature-dependent behavior of composites O Rique, X Liu, W Yu, RB Pipes Composites Part B: Engineering 184, 107726, 2020 | 20 | 2020 |
| Multiscale analysis of woven composite structures in MSC.Nastran X Liu, F Gasco, W Yu, J Goodsell, K Rouf Advances in Engineering Software 135, 102677, 2019 | 20 | 2019 |
| Finite element coupled positive definite deep neural networks mechanics system for constitutive modeling of composites F Tao, X Liu, H Du, W Yu Computer Methods in Applied Mechanics and Engineering 391, 114548, 2022 | 16 | 2022 |
| Real-time multiscale prediction of structural performance in material extrusion additive manufacturing X Liu, C Kan, Z Ye Additive Manufacturing 49, 102503, 2022 | 14 | 2022 |
| Multiscale modeling of the effective thermal conductivity of 2D woven composites by mechanics of structure genome and neural networks X Liu, B Peng, W Yu International Journal of Heat and Mass Transfer 179, 121673, 2021 | 13 | 2021 |
| Multiscale analysis of multilayer printed circuit board using mechanics of structure genome F Tao, X Lyu, X Liu, W Yu Mechanics of Advanced Materials and Structures 28 (8), 774-783, 2021 | 12 | 2021 |
| How machine learning can help the design and analysis of composite materials and structures? X Liu, S Tian, F Tao, H Du, W Yu arXiv preprint arXiv:2010.09438, 2020 | 11 | 2020 |
| Discover failure criteria of composites from experimental data by sparse regression F Tao, X Liu, H Du, S Tian, W Yu Composites Part B: Engineering 239, 109947, 2022 | 10 | 2022 |
| Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials Y Yang, X Liu, C Kan Journal of Manufacturing Systems 65, 591-604, 2022 | 8 | 2022 |
Wenbin YuPurdue University在 purdue.edu 的电子邮件经过验证
