Back cover story: Ding YL, Jiang X, Wang C et al. Femtosecond laser rapid customization of high-performance anti-reflection windows. Opto-Electron Sci 5, 260004 (2026)

In aerospace infrared detection systems, optical windows face a critical challenge: the abrupt refractive index change between the window material and air causes significant reflection losses, severely limiting detection accuracy. While conventional anti-reflection coatings offer some relief, they often suffer from poor environmental adaptability. Bioinspired subwavelength anti-reflective microstructures provide an elegant solution by creating a gradient refractive index, yet their development has been hindered by two fundamental obstacles: the inability to accurately predict optical performance within intrinsic absorption bands, and the complex, multi-parameter nature of femtosecond laser processing that forces reliance on inefficient trial-and-error.

To overcome these challenges, this paper presents 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 establishes a paradigm shift from experience-driven to data-driven manufacturing, paving the way for next-generation infrared detection systems and optical components.

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