Gbits/s-Level Encrypted Spectral Wireless Communication Enabled by High-Performance Flexible Organic Hyperspectrometer.

Adv Mater

The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Institute of Polymer Chemistry, Renewable Energy Conversion and Storage Center (RECAST), College of Chemistry, Nankai University, Tianjin, 300071, China.

Published: September 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The exponential growth of data in the information era has pushed conventional optical communication technology to its limitations, including inefficient spectral utilization, slow data rate, and inherent security vulnerabilities. Here, a transformative high-speed organic spectral wireless communication (SWC) technology enabled by a flexible, miniaturized, and high-performance organic hyperspectrometer is proposed that integrates ultrahigh-speed data transmission with hardware-level encryption. By synergistically combining organic photodetector arrays with tunable responsivities and spectral-tunable organic filters, the organic hyperspectrometer achieves a broad spectral detection range of 400 to 900 nm, resolution of 1.08 nm, accuracy of 0.60 nm, and response time of 684 ns. Unlike prior optical wireless communication systems, the organic hyperspectrometer-based SWC platform uniquely decodes high-speed encrypted data at the hardware level, which is a breakthrough in secure, high-speed, and high-capacity communication. Harnessing the full visible-to-near-infrared spectrum, the SWC system achieves a theoretical data rate of 9.1 Gbits s, ranking as the highest-speed organic optical communication system. Furthermore, the intrinsic flexibility and bandgap-tunability of organic materials enable unparalleled portability, adaptability, and scalability of organic SWC, establishing a scalable framework for terahertz-scale data transmission. These advancements mark a pivotal leap toward secure, high-speed, and ultracompact optical networks for the future data- and AI-driven era.

Download full-text PDF

Source
http://dx.doi.org/10.1002/adma.202513003DOI Listing

Publication Analysis

Top Keywords

wireless communication
12
organic hyperspectrometer
12
organic
10
spectral wireless
8
optical communication
8
data rate
8
data transmission
8
secure high-speed
8
communication
6
data
6

Similar Publications

Gbits/s-Level Encrypted Spectral Wireless Communication Enabled by High-Performance Flexible Organic Hyperspectrometer.

Adv Mater

September 2025

The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Institute of Polymer Chemistry, Renewable Energy Conversion and Storage Center (RECAST), College of Chemistry, Nankai University, Tianjin, 300071, China.

The exponential growth of data in the information era has pushed conventional optical communication technology to its limitations, including inefficient spectral utilization, slow data rate, and inherent security vulnerabilities. Here, a transformative high-speed organic spectral wireless communication (SWC) technology enabled by a flexible, miniaturized, and high-performance organic hyperspectrometer is proposed that integrates ultrahigh-speed data transmission with hardware-level encryption. By synergistically combining organic photodetector arrays with tunable responsivities and spectral-tunable organic filters, the organic hyperspectrometer achieves a broad spectral detection range of 400 to 900 nm, resolution of 1.

View Article and Find Full Text PDF

Introduction: Biofeedback is a non-pharmacological treatment option valued for its minimal risk of adverse events and offers a safe alternative for individuals seeking preventive care for migraine. Despite level A evidence for migraine prevention, biofeedback treatment is still unavailable to most patients. We developed a novel medical device (Cerebri) for multimodal biofeedback treatment that omits the need for healthcare personnel involvement.

View Article and Find Full Text PDF

A robot scheduling method based on rMAPPO for H-beam riveting and welding work cell.

PLoS One

September 2025

Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks, School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.

The H-beam riveting and welding work cell is an automated unit used for processing H-beams. By coordinating the gripping and welding robots, the work cell achieves processes such as riveting and welding stiffener plates, transforming the H-beam into a stiffened H-beam. In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells.

View Article and Find Full Text PDF

Background: Arteriovenous fistulas are critical for maintaining effective blood circulation during hemodialysis. Undetected fistula dysfunction can lead to severe complications or death. Existing monitoring approaches rely heavily on hospital-based assessment, creating challenges for early intervention in home care settings.

View Article and Find Full Text PDF

Deep learning guided programmable design of Escherichia coli core promoters from sequence architecture to strength control.

Nucleic Acids Res

August 2025

School of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi 214122, China.

Core promoters are essential regulatory elements that control transcription initiation, but accurately predicting and designing their strength remains challenging due to complex sequence-function relationships and the limited generalizability of existing AI-based approaches. To address this, we developed a modular platform integrating rational library design, predictive modelling, and generative optimization into a closed-loop workflow for end-to-end core promoter engineering. Conserved and spacer region of core promoters exert distinct effects on transcriptional strength, with the former driving large-scale variation and the latter enabling finer gradation.

View Article and Find Full Text PDF