Data for: "Computer-automated design of mode-locked fiber lasers"

Dataset

Description

We automate the mode-locked fiber laser design process using a modified genetic algorithm (GA) and an intuitive optimization loss function to control highly accurate polarization-resolved simulations of laser start-up dynamics without user interaction. We predict both laser designs and output pulse characteristics of real systems with exceptional accuracy by reconstructing experimentally demonstrated Yb-fiber all-normal dispersion, dispersion-managed, and wavelength-tuneable all-anomalous dispersion Tm-fiber femtosecond lasers with minimal prior knowledge. Our approach is directly applicable to a broad range of mode locking regimes, wavelengths, pulse energies, and repetition rates, requires no training or knowledge of the loss function gradients, and is scalable for use on supercomputers and inexpensive desktop computers.

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Date made available15 Dec 2022
Publisherfigshare

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