Machine learning phase control of filled-aperture coherent beam combining: principle and numerical demonstration

Machine learning phase control of filled-aperture coherent beam combining: principle and numerical demonstration

Machine learning has already shown promising potential in tiled-aperture coherent beam combining (CBC) to achieve versatile advanced applications. By sampling the spatially separated laser array before the combiner and detuning the optical path delays, deep learning techniques are incorporated into...

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Bibliographic Details
Main Authors: Hongbing Zhou, Rumao Tao, Xi Feng, Haoyu Zhang, Min Li, Xiong Xin, Yuyang Peng, Honghuan Lin, Jianjun Wang, Lixin Yan, Feng Jing
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:High Power Laser Science and Engineering
Subjects:
coherent beam combining
machine learning
phase control
Online Access:https://www.cambridge.org/core/product/identifier/S2095471925000246/type/journal_article
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