| Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy W Ma, F Cheng, Y Xu, Q Wen, Y Liu Advanced Materials, 1901111, 2019 | 553 | 2019 |
| Breaking the limitation of polarization multiplexing in optical metasurfaces with engineered noise B Xiong, Y Liu, Y Xu, L Deng, C Chen, J Wang, R Peng, Y Lai, Y Liu, ... Science 379 (6629), 294-299, 2023 | 217 | 2023 |
| Pushing the limits of functionality‐multiplexing capability in metasurface design based on statistical machine learning W Ma, Y Xu, B Xiong, L Deng, RW Peng, M Wang, Y Liu Advanced Materials 34 (16), 2110022, 2022 | 173 | 2022 |
| Realizing colorful holographic mimicry by metasurfaces B Xiong, Y Xu, J Wang, L Li, L Deng, F Cheng, RW Peng, M Wang, Y Liu Advanced Materials 33 (21), 2005864, 2021 | 118 | 2021 |
| Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks Y Xu, X Zhang, Y Fu, Y Liu Photonics Research 9 (4), B135-B152, 2021 | 77 | 2021 |
| Manipulating Cherenkov radiation and smith–purcell radiation by artificial structures Z Su, B Xiong, Y Xu, Z Cai, J Yin, R Peng, Y Liu Advanced Optical Materials 7 (14), 1801666, 2019 | 57 | 2019 |
| Optical pulling forces enabled by hyperbolic metamaterials R Jin, Y Xu, ZG Dong, Y Liu Nano Letters 21 (24), 10431-10437, 2021 | 31 | 2021 |
| On‐Demand Mode Conversion and Wavefront Shaping via On‐Chip Metasurfaces L Deng, Y Xu, R Jin, Z Cai, Y Liu Advanced Optical Materials, 2200910, 2022 | 28 | 2022 |
| Subwavelength control of light transport at the exceptional point by non-Hermitian metagratings Y Xu, L Li, H Jeong, S Kim, I Kim, J Rho, Y Liu Science advances 9 (19), eadf3510, 2023 | 27 | 2023 |
| Hybrid inverse design of photonic structures by combining optimization methods with neural networks L Deng, Y Xu, Y Liu Photonics and Nanostructures-Fundamentals and Applications 52, 101073, 2022 | 25 | 2022 |
| Software-defined nanophotonic devices and systems empowered by machine learning Y Xu, B Xiong, W Ma, Y Liu Progress in Quantum Electronics 89, 100469, 2023 | 24 | 2023 |
| Structured light generation using angle‐multiplexed metasurfaces L Deng, R Jin, Y Xu, Y Liu Advanced Optical Materials 11 (16), 2300299, 2023 | 22 | 2023 |
| Polariton photonics using structured metals and 2D materials Z Cai, Y Xu, C Wang, Y Liu Advanced Optical Materials 8 (5), 1901090, 2020 | 19 | 2020 |
| Deep Learning Design for Multiwavelength Infrared Image Sensors Based on Dielectric Freeform Metasurface B Xiong, Y Xu, W Li, W Ma, T Chu, Y Liu Advanced Optical Materials 12 (10), 2302200, 2024 | 17 | 2024 |
| Self-assembly of silica–gold core–shell microparticles by electric fields toward dynamically tunable metamaterials H Gao, Y Xu, K Yao, Y Liu ACS Applied Materials & Interfaces 13 (12), 14417-14422, 2021 | 15 | 2021 |
| Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model Y Sakamoto, Y Xu, B Wang, T Yamamoto, Y Nishimura 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 1-7, 2023 | 5 | 2023 |
| Tunable Optical Forces Enabled by Bilayer van der Waals Materials Z Cai, R Jin, Y Xu, Y Liu Advanced Optical Materials 12 (1), 2301288, 2024 | 4 | 2024 |
| Constraint based Bayesian optimization of bioink precursor: a machine learning framework Y Xu, R Sarah, A Habib, Y Liu, B Khoda Biofabrication 16 (4), 045031, 2024 | 3 | 2024 |
| Comparison of learning-based surrogate models for electric motors Y Xu, B Wang, Y Sakamoto, T Yamamoto, Y Nishimura 2023 24th International Conference on the Computation of Electromagnetic …, 2023 | 3 | 2023 |
| Localized Plasmonic Structured Illumination Microscopy Using Hybrid Inverse Design Q Wu, Y Xu, J Zhao, Y Liu, Z Liu Nano Letters 24 (37), 11581-11589, 2024 | 2 | 2024 |
Yongmin LiuProfessor, Fellow of Optica and SPIECorreu electrònic verificat a northeastern.edu