A low-voltage three-state flexible tunable bandpass filter using organic electrochemical transistors for 5G NR n79 and Wi-Fi 6E applications

With the rapid advancement of 5G and Wi-Fi 6E systems, there is a growing demand for flexible, low-power, and tunable radio frequency (RF) components. Traditional tunable filters, often based on rigid substrates or high-voltage tuning mechanisms, lack the flexibility and energy efficiency required for next-generation wearable and portable communication devices. To address this gap, this paper presents the design, fabrication, and characterization of a three-state flexible tunable bandpass filter based on organic electrochemical transistors (OECTs). The filter is fabricated on a PET substrate using a screen-printing process, with OECTs integrated into the resonator structure to enable low-voltage electrical tuning. Experimental results demonstrate that the filter achieves three distinct tuning states within the frequency range of 4.37–5.45 GHz, covering both 5G NR n79 and Wi-Fi 6E bands. Key performance metrics include an insertion loss of 1.65–1.87 dB, return loss close to 20 dB, and an ON/OFF ratio exceeding 103, all achieved with only a 1.3 V bias voltage. The filter also maintains stable performance under mechanical bending, confirming its suitability for flexible electronics. This work highlights the potential of OECT-based tuning for next-generation flexible RF systems, offering a compelling combination of low-voltage operation, low loss, high tunability, and scalable fabrication.

Authors

Institutions

Publication Details

Journal
npj Flexible Electronics
Published
2026-02-13
DOI
https://doi.org/10.1038/s41528-026-00548-2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A low-voltage three-state flexible tunable bandpass filter using organic electrochemical transistors for 5G NR n79 and Wi-Fi 6E applications

Jiaxing Wei, Wendong Yang, Lingming Tong, Lei Wu
npj Flexible Electronics
Advanced Sensor and Energy Harvesting Materials
article

A low-voltage three-state flexible tunable bandpass filter using organic electrochemical transistors for 5G NR n79 and Wi-Fi 6E applications

Jiaxing Wei, Wendong Yang, Lingming Tong, Lei Wu
article en

Abstract

With the rapid advancement of 5G and Wi-Fi 6E systems, there is a growing demand for flexible, low-power, and tunable radio frequency (RF) components. Traditional tunable filters, often based on rigid substrates or high-voltage tuning mechanisms, lack the flexibility and energy efficiency required for next-generation wearable and portable communication devices. To address this gap, this paper presents the design, fabrication, and characterization of a three-state flexible tunable bandpass filter based on organic electrochemical transistors (OECTs). The filter is fabricated on a PET substrate using a screen-printing process, with OECTs integrated into the resonator structure to enable low-voltage electrical tuning. Experimental results demonstrate that the filter achieves three distinct tuning states within the frequency range of 4.37–5.45 GHz, covering both 5G NR n79 and Wi-Fi 6E bands. Key performance metrics include an insertion loss of 1.65–1.87 dB, return loss close to 20 dB, and an ON/OFF ratio exceeding 103, all achieved with only a 1.3 V bias voltage. The filter also maintains stable performance under mechanical bending, confirming its suitability for flexible electronics. This work highlights the potential of OECT-based tuning for next-generation flexible RF systems, offering a compelling combination of low-voltage operation, low loss, high tunability, and scalable fabrication.

npj Flexible ElectronicsVol. 10(1)
Liaoning Technical University (CN), Helmholtz-Zentrum Berlin für Materialien und Energie (DE), Humboldt-Universität zu Berlin (DE)
Liaoning Technical University
Affordable and clean energy
Openalex Percentile: Top 59%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.