Tunable low-frequency and broadband acoustic metamaterial absorber Z Xu, H Meng, A Chen, J Yang, B Liang, J Cheng Journal of Applied Physics 129 (9), 2021 | 47 | 2021 |
Topology-optimized omnidirectional broadband acoustic ventilation barrier Z Xu, H Gao, Y Ding, J Yang, B Liang, J Cheng Physical Review Applied 14 (5), 054016, 2020 | 44 | 2020 |
Machine-learning-assisted acoustic consecutive Fano resonances: Application to a tunable broadband low-frequency metasilencer Z Xu, B Zheng, J Yang, B Liang, J Cheng Physical Review Applied 16 (4), 044020, 2021 | 24 | 2021 |
Machine learning-assisted low-frequency and broadband sound absorber with coherently coupled weak resonances A Chen, ZX Xu, B Zheng, J Yang, B Liang, JC Cheng Applied Physics Letters 120 (3), 2022 | 23 | 2022 |
On-demand inverse design of acoustic metamaterials using probabilistic generation network ZW Wang, A Chen, ZX Xu, J Yang, B Liang, JC Cheng Science China Physics, Mechanics & Astronomy 66 (2), 224311, 2023 | 13 | 2023 |
Fast prediction of aerodynamic noise induced by the flow around a cylinder based on deep neural network HY Meng, ZX Xu, J Yang, B Liang, JC Cheng Chinese Physics B 31 (6), 064305, 2022 | 5 | 2022 |
Deep learning-assisted multifunctional wavefront modulation with Willis coupling H Gao, ZW Wang, ZX Xu, J Yang, B Liang, JC Cheng Applied Physics Letters 121 (11), 2022 | 3 | 2022 |
Broadband ventilated sound insulation based on acoustic consecutive multiple Fano resonances Z Xu, W Qiu, Z Cheng, J Yang, B Liang, J Cheng Physical Review Applied 21 (4), 044049, 2024 | 1 | 2024 |
Acoustic metamaterial inverse design based on machine learning using Gauss–Bayesian models J Yang, ZX Xu, A Chen, B Liang, J Cheng The Journal of the Acoustical Society of America 151 (4_Supplement), A252-A252, 2022 | | 2022 |