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A Deep Ultraviolet Mode-locked Laser Based on a Neural Network.

Haoyuan Lu1, Hao Xu1, Jianye Zhao2

  • 1Department of Electronics, Peking University, No.5 Yiheyuan Road, Haidian District, Beijing, 100871, China.

Scientific Reports
|January 12, 2020
PubMed
Summary

We developed an online neural network to optimize deep ultraviolet mode-locked lasers. This approach simplifies complex laser system adjustments, enabling enhanced performance and wider applications in various scientific fields.

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Area of Science:

  • Optics and Photonics
  • Laser Technology
  • Artificial Intelligence in Science

Background:

  • Mode-locked deep ultraviolet (DUV) lasers are crucial in semiconductors, environmental monitoring, and biomedicine.
  • Optimizing the multiple parameters of DUV laser systems is complex and requires significant expertise.
  • Traditional optimization methods hinder the widespread adoption and advancement of these lasers.

Purpose of the Study:

  • To address the challenges in optimizing complex DUV laser systems.
  • To introduce an automated and efficient method for laser parameter tuning.
  • To enhance the accessibility and application range of mode-locked DUV lasers.

Main Methods:

  • Implementation of an online neural network for real-time system optimization.
  • Automated control of critical laser parameters: crystal position, cavity length, focusing lens position, and frequency doubling crystal temperature.
  • Utilizing machine learning to navigate the multiparameter optimization landscape.

Main Results:

  • Successful generation of a DUV mode-locked laser with 18 mW power and a spectral center at 205 nm.
  • Significant performance improvement compared to previous studies with identical pump power.
  • Demonstration of an optimized DUV laser system through automated parameter control.

Conclusions:

  • The online neural network offers a universal solution for multiparameter optimization problems in laser systems.
  • This AI-driven approach simplifies laser development and enhances performance.
  • Facilitates broader application of advanced DUV lasers across scientific and industrial domains.