Pith. sign in

REVIEW 1 cited by

Structural colors with embedded anti-counterfeit features fabricated by laser-based methods

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.11254 v1 pith:B6WDWFIG submitted 2024-04-17 physics.optics cond-mat.mtrl-sci

classification physics.opticscond-mat.mtrl-sci
keywords anti-counterfeitcolorizeddlipfeaturescolorcolorsdiffractiondirect
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Structural colors can be induced on metals not only to fabricate logos or decorative motives but also to embed anti-counterfeit features for product protection. In this study, stainless steel (EN 1.4301) plates are colorized by growing a thin oxide layer using direct laser writing (DLW) and hidden anti-counterfeit measures are included on their surfaces by direct laser interference patterning (DLIP) processing. The periodic microstructures resulting from the DLIP treatment have a spatial period of 1 um and act as relief diffraction gratings, featuring a characteristic diffraction pattern. These microstructures are not visible to the human eye but are easily detectable upon shining a coherent beam on the surface. Furthermore, the reflectance over the visible spectrum of the colorized surfaces with and without the DLIP microtexture is measured, giving low differences in the color perception following the so-called "CIE L*a*b*" color space. Finally, a demonstrator is fabricated, in which colorized fields with and without the security features are shown.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment

    cs.CL 2025-05 reject novelty 4.0 of 10

    A hybrid chat-fraud pipeline with classifier, drift detector, and LLM judge is described, but only the classifier stage is measured and the dataset citation is incorrect.

Pith tools