Mr. Lauri Salmela Profile

Lauri Salmela

at Tampere Univ

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Author

Publications (11)

Proceedings Article | 17 March 2023 Presentation

Applications of artificial intelligence to nonlinear fiber-optics

Goëry Genty, Lauri Salmela, Mathilde Hary, Mehdi Mabed, Andrei Ermolaev, John Dudley

Proceedings Volume PC12438, PC124380L (2023) https://doi.org/10.1117/12.2650072

KEYWORDS: Fiber optics, Artificial intelligence, Machine learning, Solitons, Optical fibers, Nonlinear optics, Supercontinuum generation, Numerical integration, Neural networks, Multimode fibers

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Proceedings Article | 1 April 2022 Presentation

Two-octave spanning supercontinuum generation in a lead-bismuth-gallate graded-index multimode ﬁber

Zahra Eslami, Lauri Salmela, Adam Filipkowski, Dariusz Pysz, Mariusz Klimczak, Ryszard Buczynski, John Dudley, Goëry Genty

Proceedings Volume PC11987, PC1198708 (2022) https://doi.org/10.1117/12.2608965

KEYWORDS: Supercontinuum generation, GRIN lenses, Multimode fibers, Visible radiation, Silica, Photonics, Numerical simulations, Nanostructuring, Nanolithography, Glasses

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Proceedings Article | 9 March 2022 Presentation

Machine learning control of nonlinear fiber dynamics

Mathilde Hary, Lauri Salmela, Mehdi Mabed, John Dudley, Goëry Genty

Proceedings Volume PC12019, PC120190Z (2022) https://doi.org/10.1117/12.2609474

KEYWORDS: Nonlinear control, Machine learning, Optical fibers, Nonlinear optics, Ultrafast phenomena, Optical parametric oscillators, Optical filters, Optical components, Nonlinear dynamics, Neural networks

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Proceedings Article | 9 March 2022 Presentation

Neural network prediction of supercontinuum generation dynamics

Lauri Salmela, Mathilde Hary, John Dudley, Goëry Genty

Proceedings Volume PC12019, PC120190Y (2022) https://doi.org/10.1117/12.2608549

KEYWORDS: Neural networks, Supercontinuum generation, Process modeling, Ultrafast phenomena, Solitons, Optical fibers, Numerical simulations, Numerical integration, Nonlinear optics, Nonlinear dynamics

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Proceedings Article | 8 March 2021 Presentation

Predicting ultrafast nonlinear dynamics in optical fiber using neural networks

Goëry Genty, Lauri Salmela, John Dudley

Proceedings Volume 11665, 116650K (2021) https://doi.org/10.1117/12.2588429

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Proceedings Article | 5 March 2021 Presentation

Full-field prediction of supercontinuum generation dynamics

Lauri Salmela, Mathilde Hary, John Dudley, Goëry Genty

Proceedings Volume 11703, 1170314 (2021) https://doi.org/10.1117/12.2577593

KEYWORDS: Supercontinuum generation, Neural networks, Ultrafast phenomena, Nonlinear dynamics, Optical design, Machine learning

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Proceedings Article | 5 March 2021 Presentation

Deep learning for new insights into ultrafast dynamics and extreme events in nonlinear fibre optics

Goery Genty, Lauri Salmela, Alessandro Foi, Juha Toivonen, Mathilde Hary, Mikko Narhi, Medhdi Mabed, Cyril Billet, John Dudley

Proceedings Volume 11703, 1170316 (2021) https://doi.org/10.1117/12.2576979

KEYWORDS: Nonlinear optics, Ultrafast phenomena, Fiber optics, Solitons, Neural networks, Supercontinuum generation, Physics, Numerical simulations, Numerical integration, Modulation

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Proceedings Article | 1 April 2020 Presentation

Predicting optical rogue solitons in supercontinuum generation using machine learning (Conference Presentation)

Lauri Salmela, Coraline Lapre, John Dudley, Goëry Genty

Proceedings Volume 11358, 113580J (2020) https://doi.org/10.1117/12.2555385

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Proceedings Article | 1 April 2020 Presentation

Low noise mid-infrared supercontinuum generation in multimode chalcogenide fiber (Conference Presentation)

Zahra Eslami, Piotr Ryczkowski, Lauri Salmela, Goery Genty

Proceedings Volume 11358, 1135813 (2020) https://doi.org/10.1117/12.2555419

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Supercontinuum light (SC) is a broadband source with unique properties as the result of cascaded nonlinear dynamics when intense light propagates in a nonlinear material [1]. Recently, the generation of broadband SC sources operating in the mid-infrared (MIR) has attracted significant interest due to a wide range of potential applications in spectroscopy [2], microscopy, molecular fingerprinting [3], environmental monitoring and LIDAR [4], just to name a few. Fibers made of non-silica soft glasses such as fluoride, tellurite and chalcogenide are good candidates for SC generation in the MIR due to their high intrinsic nonlinearity and wide transparency window in this wavelength range. Supercontinuum generation in the MIR is typically achieved by propagating femtosecond pulses into the anomalous dispersion regime of a single-mode soft glass fibers. This typically leads to SC sources which are limited in terms of average power due to the low damage threshold associated with soft glasses and susceptible to noise due to the anomalous pump regime. These inherent limitations can be detrimental for many applications such as e.g. optical coherence tomography (OCT), photoacoustic imaging [5], or spectroscopy where the performance critically depends on the power and noise properties of the light source. In this work, we demonstrate for the first time the generation of a low noise high power SC in the MIR by injecting 350 fs pulses from an optical parametric amplifier into the normal dispersion regime of a one meter-long multimode step-index chalcogenide fiber with 100 µm core diameter. We show the generation of SC spanning from 1700 nm to 4800 nm for a pump wavelength at 3500 nm (located in normal dispersion regime of the used fiber) and an input peak power of 570 kW. A systematic study of the SC intensity noise is performed as a function of different pump parameters and for different output wavelengths show that the initial fluctuations on the pump laser are at most amplified by a factor of 2 at the spectral edge of the SC. Although the output beam in this case is multimoded, it can still be used for many practical applications such as long-distance remote sensing for which high power and low noise are more essential than the actual beam profile quality. Our results open novel perspective for the generation of high power low-noise broadband light sources in the MIR.

Proceedings Article | 9 March 2020 Presentation

Instabilities in fiber-optics systems: from real-time measurements to machine learning (Conference Presentation)

Goëry Genty, John Dudley, Piotr Ryczkowski, Lauri Salmela, Cyril Billet, Coraline Lapre

Proceedings Volume 11265, 1126505 (2020) https://doi.org/10.1117/12.2547537

KEYWORDS: Machine learning, Fiber optics tests, Fiber optics, Ultrafast phenomena, Ultrafast measurement systems, Fourier transforms, Spectral resolution, Modulation, Supercontinuum generation

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Proceedings Article | 4 March 2019 Presentation

Predicting extreme events and statistics in modulation instability using machine learning (Conference Presentation)

Goëry Genty, Lauri Salemla, Mikko Närhi, Cyril Billet, Juha Toivonen, John Dudley

Proceedings Volume 10903, 1090303 (2019) https://doi.org/10.1117/12.2507963

KEYWORDS: Modulation, Machine learning, Data modeling, Nonlinear optics, Interference (communication), Fourier transforms, Neural networks, Numerical simulations, Systems modeling, Chaos

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Showing 5 of 11 publications

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