Backbone Tailoring Enables High‐Performance and Stable n‐Type Organic Mixed Ionic‐Electronic Conductors for Synaptic Simulation and Biosensor

W Wanli Yang (Advanced Light Source) S Suxiang Ma (Department of Materials Science and Engineering) S Sergio Gámez‐Valenzuela (Laboratory of Organic Electronics Department of Science and Technology Linköping University Norrköping Sweden) S Sang Young Jeong (Department of Chemistry, Korea University, Anamro 145, Seoul 02841, Republic of Korea) J Jin‐Woo Lee (Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 Republic of Korea) H Haihui Cai (Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen Guangdong 518055 China) R Rongjin Zhu B Bin Liu H Han Young Woo B Bumjoon J. Kim (Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 Republic of Korea) S Shu‐Jen Wang (Department of Physics Hong Kong Baptist University Kowloon Tong Hong Kong 999077 China) P Paddy Kwok Leung Chan (Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong 999077 China) X Xugang Guo (Department of Materials Science and Engineering) K Kui Feng (Department of Materials Science and Engineering)

Abstract

Abstract High‐performance and stable n‐type organic mixed ionic‐electronic conductors (OMIECs) are crucial for advancing organic electrochemical transistors (OECTs)‐based low‐power complementary circuits and biosensors, yet their development remains a great challenge. Herein, the study presents a series of donor‐acceptor polymers incorporating bithiophene (BTI) and fused BTI derivatives with varying conjugation backbone lengths as acceptors. The mid‐size fused BTI dimer enables polymer PBTI2g‐DTCN with simultaneously improved ion‐uptake capability, film structural order, and ion/electron transport capability. Consequently, an impressive electron mobility of 0.84 cm 2 V −1 s −1 and a record figure‐of‐merit ( µC *) of 287.8 F cm −1 V −1 s −1 are achieved for PBTI2g‐DTCN‐based n‐type conventional OECT in accumulation mode, while the vertical OECTs (vOECTs) attain a state‐of‐the‐art area‐normalized transconductance ( g m,A ) of 71.8 µS µm −2 with remarkable operational stability. Through finely manipulating the channel components, the vOECTs demonstrate dual‐mode operation, switching between non‐volatile and volatile states. In non‐volatile mode, vOECT‐based artificial synapses with excellent ambient stability enable dynamic learning and are employed in convolutional neural networks for image recognition. In volatile mode, they excel in biosensing, monitoring electrocardiography and electromyography signals. These remarkable results demonstrate that backbone tailoring is a powerful strategy for developing high‐performance n‐type OMIECs for synaptic and sensor applications.

Article Details

Volume / Issue Vol. 38, Issue 3
Published January 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (14)

W

Wanli Yang

Advanced Light Source

S

Suxiang Ma

Department of Materials Science and Engineering

S

Sergio Gámez‐Valenzuela

Laboratory of Organic Electronics Department of Science and Technology Linköping University Norrköping Sweden

S

Sang Young Jeong

Department of Chemistry, Korea University, Anamro 145, Seoul 02841, Republic of Korea

J

Jin‐Woo Lee

Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 Republic of Korea

H

Haihui Cai

Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen Guangdong 518055 China

R

Rongjin Zhu

B

Bin Liu

H

Han Young Woo

B

Bumjoon J. Kim

Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 Republic of Korea

S

Shu‐Jen Wang

Department of Physics Hong Kong Baptist University Kowloon Tong Hong Kong 999077 China

P

Paddy Kwok Leung Chan

Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong 999077 China

X

Xugang Guo

Department of Materials Science and Engineering

K

Kui Feng

Department of Materials Science and Engineering