| Deep learning for the design of photonic structures W Ma, Z Liu, ZA Kudyshev, A Boltasseva, W Cai, Y Liu Nature Photonics 15 (2), 77-90, 2021 | 871 | 2021 |
| Roadmap on metasurfaces O Quevedo-Teruel, H Chen, A Díaz-Rubio, G Gok, A Grbic, G Minatti, ... Journal of Optics 21 (7), 073002, 2019 | 261 | 2019 |
| Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization ZA Kudyshev, AV Kildishev, VM Shalaev, A Boltasseva Applied Physics Reviews 7 (2), 2020 | 217 | 2020 |
| Colors with plasmonic nanostructures: A full-spectrum review M Song, D Wang, S Peana, S Choudhury, P Nyga, ZA Kudyshev, H Yu, ... Applied physics reviews 6 (4), 2019 | 214 | 2019 |
| Temperature-dependent optical properties of plasmonic titanium nitride thin films H Reddy, U Guler, Z Kudyshev, AV Kildishev, VM Shalaev, A Boltasseva ACS photonics 4 (6), 1413-1420, 2017 | 208 | 2017 |
| Determining plasmonic hot-carrier energy distributions via single-molecule transport measurements H Reddy, K Wang, Z Kudyshev, L Zhu, S Yan, A Vezzoli, SJ Higgins, ... Science 369 (6502), 423-426, 2020 | 141 | 2020 |
| Machine learning–assisted global optimization of photonic devices ZA Kudyshev, AV Kildishev, VM Shalaev, A Boltasseva Nanophotonics 10 (1), 371-383, 2020 | 124 | 2020 |
| Spinning light on the nanoscale J Sun, X Wang, T Xu, ZA Kudyshev, AN Cartwright, NM Litchinitser Nano Letters 14 (5), 2726-2729, 2014 | 123 | 2014 |
| Negative refraction in time-varying strongly coupled plasmonic-antenna–epsilon-near-zero systems V Bruno, C DeVault, S Vezzoli, Z Kudyshev, T Huq, S Mignuzzi, A Jacassi, ... Physical review letters 124 (4), 043902, 2020 | 114 | 2020 |
| Enabling optical steganography, data storage, and encryption with plasmonic colors M Song, D Wang, ZA Kudyshev, Y Xuan, Z Wang, A Boltasseva, ... Laser & Photonics Reviews 15 (3), 2000343, 2021 | 86 | 2021 |
| Solar thermoplasmonic nanofurnace for high-temperature heterogeneous catalysis A Naldoni, ZA Kudyshev, L Mascaretti, SP Sarmah, S Rej, JP Froning, ... Nano Letters 20 (5), 3663-3672, 2020 | 73 | 2020 |
| Broadband, high‐speed, and large‐amplitude dynamic optical switching with yttrium‐doped cadmium oxide S Saha, BT Diroll, J Shank, Z Kudyshev, A Dutta, SN Chowdhury, TS Luk, ... Advanced Functional Materials 30 (7), 1908377, 2020 | 57 | 2020 |
| Virtual hyperbolic metamaterials for manipulating radar signals in air ZA Kudyshev, MC Richardson, NM Litchinitser Nature communications 4 (1), 2557, 2013 | 56 | 2013 |
| Rapid classification of quantum sources enabled by machine learning ZA Kudyshev, SI Bogdanov, T Isacsson, AV Kildishev, A Boltasseva, ... Advanced Quantum Technologies 3 (10), 2000067, 2020 | 55 | 2020 |
| Machine learning for integrated quantum photonics ZA Kudyshev, VM Shalaev, A Boltasseva Acs Photonics 8 (1), 34-46, 2020 | 54 | 2020 |
| Nonlocal effects in transition hyperbolic metamaterials B Wells, ZA Kudyshev, N Litchinitser, VA Podolskiy ACS Photonics 4 (10), 2470-2478, 2017 | 45 | 2017 |
| Achieving full-color generation with polarization-tunable perfect light absorption M Song, ZA Kudyshev, H Yu, A Boltasseva, VM Shalaev, AV Kildishev Optical Materials Express 9 (2), 779-787, 2019 | 43 | 2019 |
| Enhancing sensitivity to ambient refractive index with tunable few-layer graphene/hBN nanoribbons H Jiang, S Choudhury, ZA Kudyshev, D Wang, LJ Prokopeva, P Xiao, ... Photonics Research 7 (7), 815-822, 2019 | 35 | 2019 |
| Machine learning framework for quantum sampling of highly constrained, continuous optimization problems BA Wilson, ZA Kudyshev, AV Kildishev, S Kais, VM Shalaev, A Boltasseva Applied Physics Reviews 8 (4), 2021 | 34 | 2021 |
| Spatial and temporal nanoscale plasmonic heating quantified by thermoreflectance D Wang, YR Koh, ZA Kudyshev, K Maize, AV Kildishev, A Boltasseva, ... Nano Letters 19 (6), 3796-3803, 2019 | 34 | 2019 |
Alexandra BoltassevaPurdue UniversityEmail verificata su purdue.edu