Intelligent Breathing Soliton Generation in Ultrafast Fiber Lasers (Laser Photonics Rev. 16(2)/2022). Issue 2 (5th February 2022)

• Record Type: Journal Article
• Authors: Wu, Xiuqi; Peng, Junsong; Boscolo, Sonia; Zhang, Ying; Finot, Christophe; Zeng, Heping
• Is Part Of: Laser & photonics reviews. Volume 16:Issue 2(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-05
• Subjects: Lasers -- Periodicals; Photonics -- Periodicals; Lasers -- Périodiques; Photonique -- Périodiques; 621.36
• DOI: 10.1002/lpor.202270009
• Languages: English
• ISSNs: 1863-8880

Abstract

Abstract : Evolving Pulse Patterns Machine‐learning tools are mainly designed to target stationary pulses in mode‐locked lasers, while the intelligent excitation of evolving pulse patterns remains largely unexplored. In article number 2100191, Junsong Peng, Heping Zeng, and colleagues implement an evolutionary algorithm for the self‐optimization of the breather regime in a fiber laser. Depending on the specifications of the merit function used for the optimization procedure, various breathing‐soliton states are obtained.