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Laser-optical-field-modulation fabricating large-aperture dual-band antireflection windows for MWIR and LWIR imaging 认领 引用 被引量：2
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作者 Yulong Ding Cong Wang +8 位作者 Xianshi Jia Linpeng Liu Zheng Gao Xiang Jiang Shiyu Wang Dejin Yan Nai Lin Zhou Li Ji’an Duan 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期560-574,共15页
Dual-band antireflection(DBAR)windows based on surface microstructures offer a promising solution for mid-wave infrared(MWIR)and long-wave infrared(LWIR)co-aperture composite imaging.However,micro-nano manufacturing t... Dual-band antireflection(DBAR)windows based on surface microstructures offer a promising solution for mid-wave infrared(MWIR)and long-wave infrared(LWIR)co-aperture composite imaging.However,micro-nano manufacturing technology faces significant challenges in efficiently producing highly uniform microstructures with characteristic dimensions of∼1μm across hundreds of millimeters.Here,we report a laser optical field modulation(LOFM)technology for the rapid manufacture of ultra-large-scale arrays of antireflection microholes(ARMHs)on large-aperture and non-perfectly planar windows.LOFM technology,which modulates laser pulses in both temporal and spatial domains,enhances ARMH aspect ratios from 0.1 to 0.8 without reducing manufacturing time,and maintains processing accuracy even with laser focus shifts,thereby addressing inconsistencies in large-area processing.As a proof of concept,approximately 7 billion ARMHs are fabricated on a 100-mm-diameter zinc sulfide(ZnS)window at a rate of 20000 holes per second using LOFM technology assisted by machine learning.The fabricated DBAR ZnS window exhibits ultra-broadband(3.5−14μm),high transmittance(91.1%),wide-angle transmission,wear-resistant,and self-cleaning,making it suitable for environments with multiple interference factors.Dual-band imaging applications demonstrate the significant advantages of DBAR windows in target recognition,multi-scenario robustness,and information acquisition. 展开更多
关键词 laser optical field modulation large-aperture window non-perfectly planar antireflection microstructure dual-band infrared imaging
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Femtosecond laser rapid customization of high-performance anti-reflection windows 认领 引用
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作者 Yulong Ding Xiang Jiang +8 位作者 Cong Wang Xianshi Jia Linpeng Liu Weina Han Zheng Gao Shiyu Wang Nai Lin Dejin Yan Ji'an Duan 《Opto-Electronic Science》 CAS 2026年第4期17-31,共15页
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 t... 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(3.3–6.0μm)and high transmittance(~96.8%peak at 4.2μm),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. 展开更多
关键词 femtosecond laser machine learning anti-reflection windows spectra prediction infrared detection
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