Labyrinthine Microstructures with a High Dipole Moment Boron Complex for Molecular Physically Unclonable Functions

The design and development of novel <i>molecular</i>-physically unclonable functions (PUFs) with advanced encoding characteristics and ease of fabrication have recently attracted attention in cryptography, secure authentication, and anticounterfeiting. Here, we report the development of a new high dipole-moment small molecule, InIm-BF<sub>2</sub>, a difluoroborate complex of an indolyl-imine ligand, and the fabrication of unique labyrinthine patterns through a facile two-step thin film process under ambient conditions. The new molecule has a dipolar, coplanar π-backbone and arranges in the solid state with antisymmetric cofacial π-stackings (3.86 Å). These properties, along with short C-H···π contacts (2.74-2.88 Å) and nonclassical C-H···F hydrogen bonds (2.47-2.51 Å) (23.4% and 11.5% of the Hirshfeld surfaces, respectively), drive the formation of amorphous <i>molecular</i> PUF patterns with disordered, short-range interactions. Spin-coating followed by thermal annealing at a moderate temperature produces nanoscopic molecular thin films with intricate labyrinthine patterns. These patterns, characterized by interconnected, irregularly shaped, micron-sized (≈50-100 μm) features, exhibit excellent PUF characteristics, verified through advanced image analysis and computational algorithms. Unlike randomly positioned isolated features in classical binarized keys, the interconnected labyrinthine patterns possess rich entropy and complex features, directly authenticated via deep-learning methodologies. Our work not only demonstrates a facile, promising approach to fabricating unique high-entropy PUF patterns but also provides critical insights into designing advanced molecular materials for next-generation security applications.

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Journal
ACS Applied Materials & Interfaces
Published
2025-10-29
DOI
https://doi.org/10.1021/acsami.5c13228
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
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article

Labyrinthine Microstructures with a High Dipole Moment Boron Complex for Molecular Physically Unclonable Functions

Mustafa Kalay, Nilgün Kayacı, N. Burak Kiremitler, Hakan Usta et al.
ACS Applied Materials & Interfaces
Physical Unclonable Functions (PUFs) and Hardware Security
article

Labyrinthine Microstructures with a High Dipole Moment Boron Complex for Molecular Physically Unclonable Functions

Mustafa Kalay, Nilgün Kayacı, N. Burak Kiremitler, Hakan Usta, Tevhide Ayça Yıldız, M. Serdar Önses, Emrah Özcan, İbrahim Deneme, Bünyemin Çoşut, Zehra Coşkun
article en

Abstract

The design and development of novel <i>molecular</i>-physically unclonable functions (PUFs) with advanced encoding characteristics and ease of fabrication have recently attracted attention in cryptography, secure authentication, and anticounterfeiting. Here, we report the development of a new high dipole-moment small molecule, InIm-BF<sub>2</sub>, a difluoroborate complex of an indolyl-imine ligand, and the fabrication of unique labyrinthine patterns through a facile two-step thin film process under ambient conditions. The new molecule has a dipolar, coplanar π-backbone and arranges in the solid state with antisymmetric cofacial π-stackings (3.86 Å). These properties, along with short C-H···π contacts (2.74-2.88 Å) and nonclassical C-H···F hydrogen bonds (2.47-2.51 Å) (23.4% and 11.5% of the Hirshfeld surfaces, respectively), drive the formation of amorphous <i>molecular</i> PUF patterns with disordered, short-range interactions. Spin-coating followed by thermal annealing at a moderate temperature produces nanoscopic molecular thin films with intricate labyrinthine patterns. These patterns, characterized by interconnected, irregularly shaped, micron-sized (≈50-100 μm) features, exhibit excellent PUF characteristics, verified through advanced image analysis and computational algorithms. Unlike randomly positioned isolated features in classical binarized keys, the interconnected labyrinthine patterns possess rich entropy and complex features, directly authenticated via deep-learning methodologies. Our work not only demonstrates a facile, promising approach to fabricating unique high-entropy PUF patterns but also provides critical insights into designing advanced molecular materials for next-generation security applications.

ACS Applied Materials & InterfacesVol. 17(45)
Gebze Technical University (TR), University of South Bohemia in České Budějovice (CZ), Applied Nanotech (United States) (US), Kayseri Eğitim ve Araştırma Hastanesi (TR), Kayseri Üniversitesi (TR), Erciyes University (TR), Abdullah Gül University (TR)
Openalex Percentile: Top 66%
Physical Unclonable Functions (PUFs) and Hardware Security
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