Deep learning in nano-photonics: inverse design and beyond PR Wiecha, A Arbouet, C Girard, OL Muskens Photonics Research 9 (5), B182-B200, 2021 | 334 | 2021 |
Deep learning meets nanophotonics: a generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures PR Wiecha, OL Muskens Nano letters 20 (1), 329-338, 2019 | 215 | 2019 |
Evolutionary multi-objective optimization of colour pixels based on dielectric nanoantennas PR Wiecha, A Arbouet, C Girard, A Lecestre, G Larrieu, V Paillard Nature nanotechnology 12 (2), 163-169, 2017 | 135 | 2017 |
Pushing the limits of optical information storage using deep learning PR Wiecha, A Lecestre, N Mallet, G Larrieu Nature nanotechnology 14 (3), 237-244, 2019 | 113 | 2019 |
Enhanced luminescence properties of InAs–InAsP core–shell nanowires J Treu, M Bormann, H Schmeiduch, M Döblinger, S Morkötter, ... Nano letters 13 (12), 6070-6077, 2013 | 90 | 2013 |
Strongly directional scattering from dielectric nanowires PR Wiecha, A Cuche, A Arbouet, C Girard, G Colas des Francs, ... ACS photonics 4 (8), 2036-2046, 2017 | 82 | 2017 |
Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber array U Kürüm, PR Wiecha, R French, OL Muskens Optics express 27 (15), 20965-20979, 2019 | 68 | 2019 |
Tailoring second-harmonic generation in single L-shaped plasmonic nanoantennas from the capacitive to conductive coupling regime LJ Black, PR Wiecha, Y Wang, CH De Groot, V Paillard, C Girard, ... ACS photonics 2 (11), 1592-1601, 2015 | 62 | 2015 |
pyGDM--A python toolkit for full-field electro-dynamical simulations and evolutionary optimization of nanostructures PR Wiecha Computer Physics Communications 233, 167-192, 2018 | 57 | 2018 |
Deep learning enabled design of complex transmission matrices for universal optical components NJ Dinsdale, PR Wiecha, M Delaney, J Reynolds, M Ebert, I Zeimpekis, ... ACS photonics 8 (1), 283-295, 2021 | 55 | 2021 |
InP-based type-II quantum-well lasers and LEDs S Sprengel, C Grasse, P Wiecha, A Andrejew, T Gruendl, G Boehm, ... IEEE Journal of Selected Topics in Quantum Electronics 19 (4), 1900909-1900909, 2013 | 47 | 2013 |
Origin of Second Harmonic Generation from individual Silicon Nanowires PR Wiecha, A Arbouet, C Girard, T Baron, V Paillard Physical Review B 93, 125421, 2016 | 35 | 2016 |
Design of plasmonic directional antennas via evolutionary optimization PR Wiecha, C Majorel, C Girard, A Cuche, V Paillard, OL Muskens, ... Optics express 27 (20), 29069-29081, 2019 | 34 | 2019 |
Enhancement of electric and magnetic dipole transition of rare-earth-doped thin films tailored by high-index dielectric nanostructures PR Wiecha, C Majorel, C Girard, A Arbouet, B Masenelli, O Boisron, ... Applied optics 58 (7), 1682-1690, 2019 | 34 | 2019 |
Enhanced nonlinear optical response from individual silicon nanowires PR Wiecha, A Arbouet, H Kallel, P Periwal, T Baron, V Paillard Physical Review B 91 (12), 121416, 2015 | 32 | 2015 |
Chemical Vapor Deposition of High‐Optical‐Quality Large‐Area Monolayer Janus Transition Metal Dichalcogenides Z Gan, I Paradisanos, A Estrada‐Real, J Picker, E Najafidehaghani, ... Advanced Materials 34 (38), 2205226, 2022 | 30 | 2022 |
Decay rate of magnetic dipoles near nonmagnetic nanostructures PR Wiecha, A Arbouet, A Cuche, V Paillard, C Girard Physical Review B 97 (8), 085411, 2018 | 26 | 2018 |
Magnetic and electric Purcell factor control through geometry optimization of high index dielectric nanostructures Y Brûlé, P Wiecha, A Cuche, V Paillard, GC Des Francs Optics Express 30 (12), 20360-20372, 2022 | 24 | 2022 |
InP-based 2.8–3.5 μm resonant-cavity light emitting diodes based on type-II transitions in GaInAs/GaAsSb heterostructures C Grasse, P Wiecha, T Gruendl, S Sprengel, R Meyer, MC Amann Applied Physics Letters 101 (22), 2012 | 24 | 2012 |
Deep learning enabled strategies for modeling of complex aperiodic plasmonic metasurfaces of arbitrary size C Majorel, C Girard, A Arbouet, OL Muskens, PR Wiecha ACS photonics 9 (2), 575-585, 2022 | 22 | 2022 |