Intrinsically stretchable all-polymer neuromorphic visual adaptive transistors based on multidimensional-phase-separation-induced micromesh
Stretchable neuromorphic optoelectronics requiring real-time perception and dynamic adaptive processing create tempting opportunities for wearable intelligent vision equipment. Existing bionic vision devices often lack scale-modulus deformable photosensitive materials and exhibit redundant manufacturing for complex structures to integrate optical neurofunctions, highlighting a critical gap in achieving both ductility and multifunctionality. Herein, we propose a defect-tunable viscoelastic photosensitive bulk-heterojunction based on multidimensional-phase-separation-induced micromesh for all-organic intrinsically stretchable neuromorphic visual adaptive transistors. The resultant devices demonstrate maintained high photosensitivity and multimodal broad-wavelength photoadaptation even under 100% biaxial mechanical strain. Notably, a record-ultrafast adaptive time down to 0.4 s is achieved by the all-organic intrinsically stretchable visual adaptive transistors, allowing a high energy-saving ratio of 88.4%. Moreover, a low paired-pulse depression index down to 44.37% is also accomplished, exhibiting the ability of abnormal discharges reduction and normal neural network function restore. The superior bionic visual adaptive systems allowing detailed time-varying intelligent information conversion, can realize highly misleading encrypted wireless optical communications. Furthermore, contrast vision-adaptive pixels are successfully constructed to avoid element absence for advanced driving assistance systems simulation in extreme environments. This technology promises to advance skin-like neuromorphic vision systems for applications including visual cryptography, bioinspired robots and unmanned intelligence.
Authors
- Zhiyuan Zhao (ORCID: https://orcid.org/0000-0002-3597-226X)
- Mingcong Qin
- Yanyan Cao
- Yunlong Guo
- Wenkang Shi
- Yangshuang Bian
- Jianzhe Sun
- Jiaxin Hong
- Mingliang Zhu
- Chengyu Wang
- Yunqi Liu
- Yiran Liu
Institutions
- Chinese Academy of Sciences (CN)
- Beijing National Laboratory for Molecular Sciences (CN)
- Institute of Chemistry (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1038/s41467-026-69534-6
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China