| Generative model for the inverse design of metasurfaces Z Liu, D Zhu, SP Rodrigues, KT Lee, W Cai Nano letters 18 (10), 6570-6576, 2018 | 757 | 2018 |
| Periodic inversion and phase transition of finite energy Airy beams in a medium with parabolic potential Y Zhang, MR Belić, L Zhang, W Zhong, D Zhu, R Wang, Y Zhang Optics express 23 (8), 10467-10480, 2015 | 140 | 2015 |
| Compounding meta‐atoms into metamolecules with hybrid artificial intelligence techniques Z Liu*, D Zhu*, KT Lee*, AS Kim, L Raju, W Cai Advanced Materials 32 (6), 1904790, 2020 | 127 | 2020 |
| Tackling photonic inverse design with machine learning Z Liu, D Zhu, L Raju, W Cai Advanced Science 8 (5), 2002923, 2021 | 121 | 2021 |
| A hybrid strategy for the discovery and design of photonic structures Z Liu, L Raju, D Zhu, W Cai IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (1 …, 2020 | 83* | 2020 |
| Building Multifunctional Metasystems via Algorithmic Construction D Zhu, Z Liu, L Raju, AS Kim, W Cai ACS nano 15 (2), 2318-2326, 2021 | 58* | 2021 |
| Dressed four-wave mixing second-order Talbot effect H Chen, X Zhang, D Zhu, C Yang, T Jiang, H Zheng, Y Zhang Physical Review A 90 (4), 043846, 2014 | 30 | 2014 |
| Phase modulation in Rydberg dressed multi-wave mixing processes Z Zhang, H Zheng, X Yao, Y Tian, J Che, X Wang, D Zhu, Y Zhang, M Xiao Scientific reports 5 (1), 10462, 2015 | 23 | 2015 |
| Maximized frequency doubling through the inverse design of nonlinear metamaterials L Raju, KT Lee, Z Liu, D Zhu, M Zhu, E Poutrina, A Urbas, W Cai ACS nano 16 (3), 3926-3933, 2022 | 22 | 2022 |
| Fast Non-line-of-sight Imaging with Two-step Deep Remapping D Zhu, W Cai ACS Photonics 9 (6), 2046–2055, 2022 | 15 | 2022 |
| Multi-mode of four and six wave parametric amplified process D Zhu, Y Yang, D Zhang, R Liu, D Ma, C Li, Y Zhang Scientific Reports 7 (1), 43689, 2017 | 11 | 2017 |
| Detection of acute ischemic stroke and backtracking stroke onset time via machine learning analysis of metabolomics Y Zhang, D Zhu, T Li, X Wang, L Zhao, X Yang, M Dang, Y Li, Y Wu, Z Lu, ... Biomedicine & Pharmacotherapy 155, 113641, 2022 | 7 | 2022 |
| Building Multi-functional Meta-optic Systems through Deep Learning D Zhu, Z Liu, L Raju, AS Kim, W Cai 2021 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2021 | 2 | 2021 |
| Finding the right deep neural network model for efficient design of tunable nanophotonic devices M Jung, K Kojima, T Koike-Akino, Y Wang, D Zhu, M Brand CLEO: Science and Innovations, SW5E. 6, 2022 | 1 | 2022 |
| Co-existing of dressed non-linear gain and electromagnetically induced absorption D Zhu, J Che, D Zhang, X Wang, Z Wu, Y Zhang, Y Zhang Optical Materials 49, 312-318, 2015 | 1 | 2015 |
| Vacuum-induced suppression and enhancement of four-wave mixing in an optical cavity H Chen, X Wang, I Ahmed, X Yao, Z Wu, D Zhu, Y Zhang Applied Physics B 120, 765-771, 2015 | 1 | 2015 |
| Design of multifunctional color routers with Kerker switching using generative adversarial networks J Yan, D Zhu, Y Bao, Q Chen, B Li, W Cai Laser & Photonics Reviews, 2300592, 2024 | | 2024 |
| Metalens with Corrected Phase M Brand, D Zhu, K Kojima US Patent App. 17/663,011, 2023 | | 2023 |
| Generative Machine Learning for Photonic Design D Zhu, Z Liu, W Cai Advances in Electromagnetics Empowered by Artificial Intelligence and Deep …, 2023 | | 2023 |
| Photonic upconversion maximization for nonlinear meta-material enabled by deep learning L Raju, Z Liu, D Zhu, A Kim, E Poutrina, A Urbas, W Cai Nonlinear Frequency Generation and Conversion: Materials and Devices XXII …, 2023 | | 2023 |
Wenshan CaiGeorgia Institute of TechnologyVerified email at gatech.edu
