| Midinfrared Surface Waves on a High Aspect Ratio Nanotrench Platform O Takayama, E Shkondin, A Bodganov, ME Aryaee Panah, K Golenitskii, ... ACS Photonics 4 (11), 2899-2907, 2017 | 71 | 2017 |
| High aspect ratio titanium nitride trench structures as plasmonic biosensor E Shkondin, T Repän, O Takayama, AV Lavrinenko Optical Materials Express 7 (11), 4171-4182, 2017 | 65 | 2017 |
| High aspect ratio plasmonic nanotrench structures with large active surface area for label-free mid-infrared molecular absorption sensing E Shkondin, T Repän, ME Aryaee Panah, AV Lavrinenko, O Takayama ACS Applied Nano Materials 1 (3), 1212-1218, 2018 | 60 | 2018 |
| Dark-field hyperlens: Super-resolution imaging of weakly scattering objects T Repän, AV Lavrinenko, SV Zhukovsky Optics Express 23 (19), 25350-25364, 2015 | 31 | 2015 |
| Boosting light emission from single hydrogen phthalocyanine molecules by charging V Rai, L Gerhard, Q Sun, C Holzer, T Repän, M Krstić, L Yang, ... Nano letters 20 (10), 7600-7605, 2020 | 28 | 2020 |
| Increased efficiency inside the CdTe solar cell absorber caused by plasmonic metal nanoparticles T Repän, S Pikker, L Dolgov, A Loot, J Hiie, M Krunks, I Sildos Energy Procedia 44, 229-233, 2014 | 16 | 2014 |
| Neural Operator-Based Surrogate Solver for Free-Form Electromagnetic Inverse Design Y Augenstein, T Repän, C Rockstuhl ACS Photonics, 2023 | 15 | 2023 |
| Optical reconfiguration and polarization control in semi-continuous gold films close to the percolation threshold C Frydendahl, T Repän, M Geisler, SM Novikov, J Beermann, ... Nanoscale 9 (33), 12014-12024, 2017 | 13 | 2017 |
| Artificial neural networks used to retrieve effective properties of metamaterials T Repän, R Venkitakrishnan, C Rockstuhl Optics Express 29 (22), 36072-36085, 2021 | 12 | 2021 |
| Hyperbolic surface waves on anisotropic materials without hyperbolic dispersion T Repän, O Takayama, A Lavrinenko Optics express 28 (22), 33176-33183, 2020 | 10 | 2020 |
| Subwavelength hyperlens resolution with perfect contrast function A Novitsky, T Repän, SV Zhukovsky, AV Lavrinenko Annalen der Physik 530 (3), 1700300, 2018 | 10 | 2018 |
| Pseudocanalization regime for magnetic dark-field hyperlenses T Repän, A Novitsky, M Willatzen, AV Lavrinenko Physical Review B 96 (19), 195166, 2017 | 10 | 2017 |
| Influence of Co bilayers and trilayers on the plasmon-driven light emission from Cu (111) in a scanning tunneling microscope K Edelmann, L Wilmes, V Rai, L Gerhard, L Yang, M Wegener, T Repän, ... Physical Review B 101 (20), 205405, 2020 | 7 | 2020 |
| Search for superresolution in a metamaterial solid immersion lens A Novitsky, T Repän, R Malureanu, O Takayama, E Shkondin, ... Physical Review A 99 (2), 023835, 2019 | 7 | 2019 |
| Inverse design of core-shell particles with discrete material classes using neural networks L Kuhn, T Repän, C Rockstuhl Scientific Reports 12 (1), 1-8, 2022 | 6 | 2022 |
| Extreme renormalisations of dimer eigenmodes by strong light–matter coupling TJ Sturges, T Repän, CA Downing, C Rockstuhl, M Stobińska New Journal of Physics 22 (10), 103001, 2020 | 6 | 2020 |
| Exploiting graph neural networks to perform finite-difference time-domain based optical simulations L Kuhn, T Repän, C Rockstuhl APL Photonics 8 (3), 036109, 2023 | 5 | 2023 |
| Lower limits for the homogenization of periodic metamaterials made from electric dipolar scatterers R Venkitakrishnan, T Höß, T Repän, FZ Goffi, M Plum, C Rockstuhl Physical Review B 103 (19), 195425, 2021 | 5 | 2021 |
| Wave Front Tuning of Coupled Hyperbolic Surface Waves on Anisotropic Interfaces T Repän, O Takayama, AV Lavrinenko Photonics 7 (2), 34, 2020 | 5 | 2020 |
| Exploiting geometric biases in inverse nano-optical problems using artificial neural networks T Repän, Y Augenstein, C Rockstuhl Optics Express 30 (25), 45365-45375, 2022 | 3 | 2022 |
