| Machine learning and applications in ultrafast photonics G Genty, L Salmela, JM Dudley, D Brunner, A Kokhanovskiy, S Kobtsev, ... Nature Photonics 15 (2), 91-101, 2021 | 478 | 2021 |
| Ionic liquid gated carbon nanotube saturable absorber for switchable pulse generation Y Gladush, AA Mkrtchyan, DS Kopylova, A Ivanenko, B Nyushkov, ... Nano letters 19 (9), 5836-5843, 2019 | 100 | 2019 |
| Layout of NALM fiber laser with adjustable peak power of generated pulses S Smirnov, S Kobtsev, A Ivanenko, A Kokhanovskiy, A Kemmer, ... Optics letters 42 (9), 1732-1735, 2017 | 69 | 2017 |
| Machine learning methods for control of fibre lasers with double gain nonlinear loop mirror A Kokhanovskiy, A Ivanenko, S Kobtsev, S Smirnov, S Turitsyn Scientific reports 9 (1), 2916, 2019 | 65 | 2019 |
| Ultrafast all-fibre laser mode-locked by polymer-free carbon nanotube film S Kobtsev, A Ivanenko, YG Gladush, B Nyushkov, A Kokhanovskiy, ... Optics express 24 (25), 28768-28773, 2016 | 58 | 2016 |
| Deep reinforcement learning for self-tuning laser source of dissipative solitons E Kuprikov, A Kokhanovskiy, K Serebrennikov, S Turitsyn Scientific Reports 12 (1), 7185, 2022 | 51 | 2022 |
| Machine learning-based pulse characterization in figure-eight mode-locked lasers A Kokhanovskiy, A Bednyakova, E Kuprikov, A Ivanenko, M Dyatlov, ... Optics Letters 44 (13), 3410-3413, 2019 | 46 | 2019 |
| Inverse design of mode-locked fiber laser by particle swarm optimization algorithm A Kokhanovskiy, E Kuprikov, A Bednyakova, I Popkov, S Smirnov, ... Scientific reports 11 (1), 13555, 2021 | 43 | 2021 |
| Synchronously pumped picosecond all-fibre Raman laser based on phosphorus-doped silica fibre S Kobtsev, S Kukarin, A Kokhanovskiy Optics Express 23 (14), 18548-18553, 2015 | 39 | 2015 |
| Single-and multi-soliton generation in figure-eight mode-locked fibre laser with two active media A Kokhanovskiy, E Kuprikov, S Kobtsev Optics & Laser Technology 131, 106422, 2020 | 37 | 2020 |
| Raman-converted high-energy double-scale pulses at 1270 nm in P2O5-doped silica fiber S Kobtsev, A Ivanenko, A Kokhanovskiy, M Gervaziev Optics express 26 (23), 29867-29872, 2018 | 29 | 2018 |
| InAs-based metal-oxide-semiconductor structure formation in low-energy Townsend discharge MS Aksenov, AY Kokhanovskii, PA Polovodov, SF Devyatova, ... Applied Physics Letters 107 (17), 2015 | 24 | 2015 |
| Properties of artificial saturable absorbers based on NALM with two pumped active fibres A Kokhanovskiy, S Kobtsev, A Ivanenko, S Smirnov Laser Physics Letters 15 (12), 125101, 2018 | 23 | 2018 |
| Highly dense FBG temperature sensor assisted with deep learning algorithms A Kokhanovskiy, N Shabalov, A Dostovalov, A Wolf Sensors 21 (18), 6188, 2021 | 22 | 2021 |
| Electronic control of different generation regimes in mode-locked all-fibre F8 laser S Kobtsev, A Ivanenko, A Kokhanovskiy, S Smirnov Laser Physics Letters 15 (4), 045102, 2018 | 20 | 2018 |
| Fiber Bragg grating inscription assisted by a spatial light modulator A Dostovalov, A Kokhanovskiy, E Golikov, A Revyakin, Z Munkueva, ... Optics Letters 49 (4), 1077-1080, 2024 | 18 | 2024 |
| Influence of spectral filtration on pulse dynamics in ring-cavity Mamyshev oscillator A Bednyakova, E Kuprikov, I Geraseva, A Kokhanovskiy Applied Sciences 11 (21), 10398, 2021 | 16 | 2021 |
| A deep reinforcement learning algorithm for smart control of hysteresis phenomena in a mode-locked fiber laser A Kokhanovskiy, A Shevelev, K Serebrennikov, E Kuprikov, S Turitsyn Photonics 9 (12), 921, 2022 | 13 | 2022 |
| All-polarisation-maintaining modified figure-of-8 fibre laser as a source of soliton molecules A Kokhanovskiy, E Kuprikov, A Ivanenko, S Kobtsev Laser Physics Letters 17 (8), 085101, 2020 | 12 | 2020 |
| Multistability manipulation by reinforcement learning algorithm inside mode-locked fiber laser A Kokhanovskiy, E Kuprikov, K Serebrennikov, A Mkrtchyan, ... Nanophotonics 13 (16), 2891-2901, 2024 | 11 | 2024 |
Sergey KobtsevNovosibirsk State University (NSU), TekhnoscanVerified email at nsu.ru
