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 | 320 | 2021 |
Machine learning analysis of extreme events in optical fibre modulation instability M Närhi, L Salmela, J Toivonen, C Billet, JM Dudley, G Genty Nature communications 9 (1), 4923, 2018 | 126 | 2018 |
Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network L Salmela, N Tsipinakis, A Foi, C Billet, JM Dudley, G Genty Nature machine intelligence 3 (4), 344-354, 2021 | 125 | 2021 |
Machine learning analysis of rogue solitons in supercontinuum generation L Salmela, C Lapre, JM Dudley, G Genty Scientific Reports 10 (1), 9596, 2020 | 30 | 2020 |
Low-noise octave-spanning mid-infrared supercontinuum generation in a multimode chalcogenide fiber Z Eslami, P Ryczkowski, L Salmela, G Genty Optics Letters 45 (11), 3103-3106, 2020 | 24 | 2020 |
Two octave supercontinuum generation in a non-silica graded-index multimode fiber Z Eslami, L Salmela, A Filipkowski, D Pysz, M Klimczak, R Buczynski, ... Nature Communications 13 (1), 2126, 2022 | 22 | 2022 |
Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation L Salmela, M Hary, M Mabed, A Foi, JM Dudley, G Genty Optics Letters 47 (4), 802-805, 2022 | 21 | 2022 |
High-power short-wavelength infrared supercontinuum generation in multimode fluoride fiber Z Eslami, P Ryczkowski, C Amiot, L Salmela, G Genty JOSA B 36 (2), A72-A78, 2019 | 18 | 2019 |
Machine learning analysis of instabilities in noise-like pulse lasers M Mabed, F Meng, L Salmela, C Finot, G Genty, JM Dudley Optics Express 30 (9), 15060-15072, 2022 | 7 | 2022 |
Neural network analysis of unstable temporal intensity peaks in continuous wave modulation instability M Mabed, L Salmela, A Ermolaev, C Finot, G Genty, JM Dudley Optics Communications 541, 129570, 2023 | 2 | 2023 |
Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation: erratum L Salmela, M Hary, M Mabed, A Foi, JM Dudley, G Genty Optics Letters 47 (7), 1741-1741, 2022 | 2 | 2022 |
PI (4, 5) P2 Binds to Phospholipase C Delta 1 in a Cholesterol Concentration Dependent Manner: Perspective on Implications to PI (4, 5) P2-Binding Proteins S Rissanen, L Salmela, I Vattulainen, T Róg Biophysical Journal 112 (3), 137a-138a, 2017 | 2 | 2017 |
Supercontinuum generation in a graded-index multimode tellurite fiber E Krutova, L Salmela, Z Eslami, T Karpate, M Klimczak, R Buczynski, ... Optics Letters 49 (11), 2865-2868, 2024 | 1 | 2024 |
Tailored supercontinuum generation using genetic algorithm optimized Fourier domain pulse shaping M Hary, L Salmela, P Ryczkowski, F Gallazzi, JM Dudley, G Genty Optics Letters 48 (17), 4512-4515, 2023 | 1 | 2023 |
Genetic algorithm spectral shaping of supercontinuum over 1550–2000 nm M Hary, L Salmela, JM Dudley, G Genty 2023 Conference on Lasers and Electro-Optics Europe & European Quantum …, 2023 | 1 | 2023 |
Supercontinuum spectral evolution prediction by recurrent neural network L Salmela, C Lapre, JM Dudley, G Genty 2020 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2020 | 1 | 2020 |
Extreme events prediction in optical fibre modulation instability using machine learning L Salmela, M Närhi, J Toivonen, C Lapre, C Billet, JM Dudley, G Genty European Quantum Electronics Conference, ee_5_6, 2019 | 1 | 2019 |
Machine learning analysis of extreme events in optical fibre modulation instability L Salmela, M Narhi, J Toivonen, JM Dudley, G Genty Symposium on Future Prospects for Photonics: Sensing & Imaging, 2018 | 1 | 2018 |
Machine Learning analysis of temporal instability peaks under Continuous Wave excitation in optical fiber Modulation Instability M Mabed, L Salmela, AV Ermolaev, C Finot, G Genty, JM Dudley European Quantum Electronics Conference, ef_10_2, 2023 | | 2023 |
Applications of artificial intelligence to nonlinear fiber-optics G Genty, L Salmela, M Hary, M Mabed, A Ermolaev, JM Dudley AI and Optical Data Sciences IV, PC124380L, 2023 | | 2023 |