Defect‐Assisted Ultra‐Regular LIPSS for Multi‐Level Structural Coloring

ABSTRACT Laser‐induced periodic surface structures (LIPSS) offer high‐throughput route for creating regular nanotextures over diverse materials. However, achieving large‐scale ultra‐regular LIPSS with tailored periodicity on common materials with non‐ideal interfaces, as polished metallic surfaces, remains challenging. Here, we demonstrate defect‐engineering approach to produce self‐organized gratings over polished AISI304 steel surface with exceptional dispersion of LIPSS orientation angles < 1° and diffraction efficiency above 15% – among the highest values ever reported for all LIPSS types. This is achieved by IR femtosecond‐laser pre‐patterning the surface with isolated nano‐grooves, which control excitation and scattering of surface waves to guide LIPSS formation along predefined trajectory. We employ an original Fourier‐plane micro‐imaging technique enabling highly sensitive and localized assessment of exceptional LIPSS regularity through light diffraction, with the data rapidly averaged over square‐centimeter areas. Using defect‐assisted patterning we demonstrate both near‐ () and sub‐wavelength (/2) LIPSS with high regularity. Finally, we highlight the practical value of our approach demonstrating multi‐level structural coloring by tuning LIPSS periodicity through the angular defect‐assisted recording and controlling local diffraction efficiency by laser post‐treatment. Our results provide practical pathways for large‐scale production of tunable and ultra‐regular LIPSS over commercial materials, with immediate applications in nanophotonics, sensing, and optical instrumentation.

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Publication Details

Journal
Laser & Photonics Review
Published
2026-04-26
DOI
https://doi.org/10.1002/lpor.202503231
Primary Topic
Laser Material Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Defect‐Assisted Ultra‐Regular LIPSS for Multi‐Level Structural Coloring

Qianhe Wang, Vasily Lapidas, Alexey Zhizhchenko, Aleksandr A. Kuchmizhak et al.
Laser & Photonics Review
Laser Material Processing Techniques
article

Defect‐Assisted Ultra‐Regular LIPSS for Multi‐Level Structural Coloring

Qianhe Wang, Vasily Lapidas, Alexey Zhizhchenko, Aleksandr A. Kuchmizhak, A. G. Kozlov, Wenqi Ma, Junjie Zhang, Evgeny Modin
article en

Abstract

ABSTRACT Laser‐induced periodic surface structures (LIPSS) offer high‐throughput route for creating regular nanotextures over diverse materials. However, achieving large‐scale ultra‐regular LIPSS with tailored periodicity on common materials with non‐ideal interfaces, as polished metallic surfaces, remains challenging. Here, we demonstrate defect‐engineering approach to produce self‐organized gratings over polished AISI304 steel surface with exceptional dispersion of LIPSS orientation angles < 1° and diffraction efficiency above 15% – among the highest values ever reported for all LIPSS types. This is achieved by IR femtosecond‐laser pre‐patterning the surface with isolated nano‐grooves, which control excitation and scattering of surface waves to guide LIPSS formation along predefined trajectory. We employ an original Fourier‐plane micro‐imaging technique enabling highly sensitive and localized assessment of exceptional LIPSS regularity through light diffraction, with the data rapidly averaged over square‐centimeter areas. Using defect‐assisted patterning we demonstrate both near‐ () and sub‐wavelength (/2) LIPSS with high regularity. Finally, we highlight the practical value of our approach demonstrating multi‐level structural coloring by tuning LIPSS periodicity through the angular defect‐assisted recording and controlling local diffraction efficiency by laser post‐treatment. Our results provide practical pathways for large‐scale production of tunable and ultra‐regular LIPSS over commercial materials, with immediate applications in nanophotonics, sensing, and optical instrumentation.

Laser & Photonics Review
Far Eastern Federal University (RU), Harbin Institute of Technology (CN), Institute of Automation and Control Processes (RU), CIC nanoGUNE (ES)
Ministerstwo Edukacji i Nauki
Openalex Percentile: Top 5%
Laser Material Processing Techniques
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