Femtosecond laser rapid customization of high-performance anti-reflection windows
飞秒激光快速定制高性能防反射窗
フェムト秒レーザー高速カスタマイズ高性能反射防止窓
고성능 반사 방지 창의 페페모초 레이저 빠른 사용자 정의
Personalización rápida del láser de femtosegundos de ventanas antirreflexivas de alto rendimiento
Personnalisation rapide laser femtoseconde de fenêtres anti-réflexion haute performance
Фемтосекундный лазер быстрая настройка высокопроизводительных антиотражающих окон
Yulong Ding ¹, Xiang Jiang ¹, Cong Wang ¹, Xianshi Jia ¹, Linpeng Liu ¹, Weina Han ², Zheng Gao ¹, Shiyu Wang ¹, Nai Lin ³, Dejin Yan ³, Ji'an Duan ¹
¹ State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
中国 长沙 中南大学机电学院极端服役性能精准制造全国重点实验室
² Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
中国 北京 北京理工大学机械与车辆学院激光微纳制造研究所
³ The 10th Research Institute of CETC, Chengdu 610036, China
中国 成都 中国电子科技集团公司第十研究所
Bionic anti-reflection windows are critical for enhancing the performance of aerospace infrared detection systems. The manufacturing of anti-reflective microstructures (ARMs), however, faces a significant challenge that the transmittance spectrum is difficult to predict both accurately and swiftly, leading to long-term reliance on blind and inefficient trial-and-error for process optimization. Here, we report a method that integrates machine learning (ML) with femtosecond laser for the rapid customization of high-performance anti-reflection windows.
Embedding of the material’s absorption characteristics as a physical constraint into the ML model enables highly accurate prediction across an ultra-broad transmittance spectrum, overcoming the failure of conventional simulations in these intrinsic absorption bands. The trained ML model serves as an intelligent agent to guide the precise control over multiple femtosecond laser parameters, thus converting the costly process of physical trial-and-error into one of efficient virtual screening and iteration.
As a proof of concept, an anti-reflective sapphire window was produced that demonstrates broadband (3.3–6.0 μm) and high transmittance (~96.8% peak at 4.2 μm), along with excellent wide-angle characteristics, mechanical wear resistance, and high-quality imaging capability. This work provides a novel paradigm for rapidly manufacturing high-performance anti-reflective windows, laying the foundation for next-generation optical components.
