Near‐Infrared Luminescent Imaging‐Based 3D QR Cube Platform for Spatial Information Storage and Security DOI

Seong-Je Kim,

Jiheon Lim,

Suyeon Kim

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 16, 2024

Abstract The growing significance of information technology requires advanced storage and security solutions. While extending traditional 2D codes with additional parameters has led to promising 3D codes, increasing capacity remains challenging. Herein, a quick response (QR) cube platform that utilizes near‐infrared (NIR)‐to‐NIR upconversion nanoparticles as light‐emitting probes, benefiting from their photostability low scattering properties. These features enable precise reconstruction the QR cube. employs volumetric space for encoding by leveraging spatial in environment, demonstrating potential significantly increase facilitate access all three dimensions (x, y, z), while enhancing security. This study develops analyzing reconstructing cubes using NIR imaging convolutional neural network model determine structure image intensity variations, achieving 99.9% accuracy predicting configurations. By logical circuits, encryption method surpass strength codes. findings demonstrate high prediction introduce new possibilities multi‐level keys space, offering robust solution

Язык: Английский

An Optically Modulated Hydrogel Synapse for Multilevel Information Decryption DOI
Rui Zhou, Huasheng Tian, Hongyang Zhao

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 30, 2025

Abstract The increasing significance of data security promotes the development multilevel information encryption and decryption techniques. However, realization logical outputs modulated by multiple stimuli is challenging in design advanced functional materials. Herein, a system with combination visual digital that responds to dual‐optical inputs developed based on hydrogel‐based synaptic device. ammonium molybdate nanoparticles calcium alginate supramolecular networks incorporated into polyacrylamide hydrogel enable optically regulated color change ionic conductivity. Under UV irradiation, reduction allows as outputs. Meanwhile, conductivity can be near‐infrared (NIR) optical pulses emulate plasticity biological synapses, producing NIR‐mediated As demonstration, strategy provided using array combines decoding camouflage. Moreover, short‐term synapse endows time‐dependent decryption, which improves reduces risk leakage. This study contributes advancing systems providing an effective technique for integrating

Язык: Английский

Процитировано

0

Smart Wrinkled Interfaces: Patterning, Morphing, and Coding of Polymer Surfaces by Dynamic Anisotropic Wrinkling DOI
Ning Liu,

Yenie Lu,

Z. J. Li

и другие.

Langmuir, Год журнала: 2024, Номер 40(36), С. 18837 - 18856

Опубликована: Авг. 29, 2024

In contrast to traditional static surfaces, smart patterned surfaces with periodical and reversible morphologies offer limitless opportunities for encoding surface functions properties on demand, facilitating their widespread application as functional building blocks in various devices. Advances intelligently controlling the macroscopic of these have been accomplished through techniques (such three-dimensional printing, imprint lithography femtosecond laser) responsive materials. sophisticated above, dynamic anisotropic wrinkling, taking advantage programmable manipulation wrinkling its orientation, offers a powerful alternative fabricating patterns due spontaneous formation, versatility, convenient scale-up fabrication, sensitivity stimuli. This review comprehensively summarizes recent advances oriented wrinkles, covering design principles, fabrication techniques, representative types physical chemical stimuli, well fine-tuning wrinkle dimensions orientation. Finally, advanced applications are presented, along discussion current challenges future prospects this rapidly evolving field. would some insights guidelines designing engineering novel stimuli-responsive wrinkled thereby sustainable development progressing toward commercialization.

Язык: Английский

Процитировано

3

Reconfigurable wrinkles of a patterned liquid crystal network coating activated by polarized light DOI
Wenchang Qian, Yong Ni, Linghui He

и другие.

International Journal of Non-Linear Mechanics, Год журнала: 2024, Номер unknown, С. 104983 - 104983

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0

Computational Imaging Encryption with Steganography and Lanthanide Luminescent Materials DOI Open Access

Mengyang Lu,

Yao Xie,

Jiwei Li

и другие.

Laser & Photonics Review, Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

Abstract Optical encryption is a potential scheme for information security that exploits abundant degrees of freedom light to encode information. However, conventional based on fluorescent materials faces challenges in handling complex secret Alternatively, single‐pixel imaging (SPI) provides computational modality solve these problems. In this study, high‐capacity fluorescence scheme, achieved by introducing lanthanide and steganography into the encoding decoding processes SPI proposed. Two types well‐designed luminescent are utilized excited generate images (fluo‐images), which crucial scheme. Various practical experiments using fluo‐images as keys demonstrate robustness, effectiveness, repeatability Furthermore, multi‐image indicate method increase capacity. Thus, proposed does provide an efficient strategy security, can improve traditional optical simultaneously enhance flexibility decryption.

Язык: Английский

Процитировано

0

Near‐Infrared Luminescent Imaging‐Based 3D QR Cube Platform for Spatial Information Storage and Security DOI

Seong-Je Kim,

Jiheon Lim,

Suyeon Kim

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 16, 2024

Abstract The growing significance of information technology requires advanced storage and security solutions. While extending traditional 2D codes with additional parameters has led to promising 3D codes, increasing capacity remains challenging. Herein, a quick response (QR) cube platform that utilizes near‐infrared (NIR)‐to‐NIR upconversion nanoparticles as light‐emitting probes, benefiting from their photostability low scattering properties. These features enable precise reconstruction the QR cube. employs volumetric space for encoding by leveraging spatial in environment, demonstrating potential significantly increase facilitate access all three dimensions (x, y, z), while enhancing security. This study develops analyzing reconstructing cubes using NIR imaging convolutional neural network model determine structure image intensity variations, achieving 99.9% accuracy predicting configurations. By logical circuits, encryption method surpass strength codes. findings demonstrate high prediction introduce new possibilities multi‐level keys space, offering robust solution

Язык: Английский

Процитировано

0