Ultra‐Planar Polymer Hole Transport Materials via Bridging‐Atom Engineered Noncovalent Conformational Locking for High‐Performance Perovskite Photodetectors and Neuromorphic Computing

ABSTRACT Developing efficient dopant‐free polymer hole transport materials (HTMs) plays a crucial role in solution‐processed perovskite optoelectronics. Herein, we propose a conjugated backbone‐integrated noncovalent conformational locking (NCL) strategy and report three p‐type conjugated polymers (PTPC, PTPN, and PTPSi) via bridging atom engineering. The backbone‐integrated NCL outperforms conventional side‐chain‐based noncovalent interactions, enabling a highly planarized polymer conformation and more compact π – π stacking. Notably, the strategic incorporation of dual‐functional N atoms in PTPN strengthens intramolecular S···N interactions, which minimizes molecular reorganization energy and boosts hole mobility. Meanwhile, thiophene S and bridging N atoms synergistically anchor undercoordinated Pb 2 + on the perovskite surface, thus effectively suppressing defect‐induced nonradiative recombination. Three polymers were evaluated as dopant‐free HTMs in all‐solution‐processed perovskite photodetectors. The PTPN device presents an extremely low dark current density of 3.25 × 10 − 10 A cm − 2 at 0 V, an outstanding external quantum efficiency (EQE) of 86.1%, and a high detectivity exceeding 10 12 Jones. In addition, the multifunctional PTPN device exhibits stable and reconfigurable synaptic plasticity, offering extensive features for synaptic behavior emulation, visual memory, and high‐accuracy image recognition. We also demonstrate an advanced preprocessing strategy, and proof‐of‐concept preprocessing with the PTPN device achieves an ultrahigh recognition accuracy of 97.7% in an artificial neural network.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-06-29
DOI
https://doi.org/10.1002/adfm.76712
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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Ultra‐Planar Polymer Hole Transport Materials via Bridging‐Atom Engineered Noncovalent Conformational Locking for High‐Performance Perovskite Photodetectors and Neuromorphic Computing

Shougen Yin, Huiqing Hou, Yang Ran, Zhiqiang Jiao et al.
Advanced Functional Materials
Perovskite Materials and Applications
article

Ultra‐Planar Polymer Hole Transport Materials via Bridging‐Atom Engineered Noncovalent Conformational Locking for High‐Performance Perovskite Photodetectors and Neuromorphic Computing

Shougen Yin, Huiqing Hou, Yang Ran, Zhiqiang Jiao, Xiaoming Wu, Longni Chen, Jiahao Cui, Xi Zhang, Yan Lu, Zewang He
article en

Abstract

ABSTRACT Developing efficient dopant‐free polymer hole transport materials (HTMs) plays a crucial role in solution‐processed perovskite optoelectronics. Herein, we propose a conjugated backbone‐integrated noncovalent conformational locking (NCL) strategy and report three p‐type conjugated polymers (PTPC, PTPN, and PTPSi) via bridging atom engineering. The backbone‐integrated NCL outperforms conventional side‐chain‐based noncovalent interactions, enabling a highly planarized polymer conformation and more compact π – π stacking. Notably, the strategic incorporation of dual‐functional N atoms in PTPN strengthens intramolecular S···N interactions, which minimizes molecular reorganization energy and boosts hole mobility. Meanwhile, thiophene S and bridging N atoms synergistically anchor undercoordinated Pb 2 + on the perovskite surface, thus effectively suppressing defect‐induced nonradiative recombination. Three polymers were evaluated as dopant‐free HTMs in all‐solution‐processed perovskite photodetectors. The PTPN device presents an extremely low dark current density of 3.25 × 10 − 10 A cm − 2 at 0 V, an outstanding external quantum efficiency (EQE) of 86.1%, and a high detectivity exceeding 10 12 Jones. In addition, the multifunctional PTPN device exhibits stable and reconfigurable synaptic plasticity, offering extensive features for synaptic behavior emulation, visual memory, and high‐accuracy image recognition. We also demonstrate an advanced preprocessing strategy, and proof‐of‐concept preprocessing with the PTPN device achieves an ultrahigh recognition accuracy of 97.7% in an artificial neural network.

Advanced Functional Materials
Tianjin University of Technology (CN), Tianjin University (CN), Chinese Academy of Sciences (CN), BOE Technology Group (China) (CN), Beijing National Laboratory for Molecular Sciences (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Perovskite Materials and Applications
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