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Lauri Salmela
Lauri Salmela
Tampere University
在 tuni.fi 的电子邮件经过验证
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引用次数
引用次数
年份
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
2152021
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
1042018
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
862021
Machine learning analysis of rogue solitons in supercontinuum generation
L Salmela, C Lapre, JM Dudley, G Genty
Scientific Reports 10 (1), 9596, 2020
252020
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
192020
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
112022
Machine learning and applications in ultrafast photonics Nat
G Genty, L Salmela, JM Dudley, D Brunner, A Kokhanovskiy, S Kobtsev, ...
Photonics 15 (2), 91-101, 2021
112021
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
112019
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
92022
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
42022
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
22017
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
12020
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
12019
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
2023
Tailored supercontinuum generation using genetic algorithmoptimized Fourier domain pulse shaping
M Hary, L Salmela, P Ryczkowski, F Gallazzi, JM Dudley, G Genty
arXiv preprint arXiv:2304.00829, 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
Machine learning control of nonlinear fiber supercontinuum generation for application in molecular spectroscopy
M Hary, L Salmela, JM Dudley, G Genty
Nonlinear Photonics, NpTu1G. 2, 2022
2022
Neural network-based emulation of nonlinear pulse propagation
L Salmela, M Hary, M Mahed, JM Dudley, G Genty
Nonlinear Photonics, NpM3G. 2, 2022
2022
Broadband supercontinuum generation and self-cleaning dynamics in a lead-bismuth-gallate graded-index multimode fiber
Z Eslami, L Salmela, A Filipkowski, D Pysz, M Klimczak, R Buczynski, ...
International Conference on Ultrafast Phenomena, Tu4A. 68, 2022
2022
Data-driven Discovery of the Ideal Four Wave Mixing Modelin Nonlinear Fiber Optics
A Ermolaev, A Sheveleva, L Salmela, G Genty, C Finot, JM Dudley
Congrès général Optique de la Société Française d'Optique, 2022
2022
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