Metal–Organic Frameworks Coordination‐Oriented Polymer Dielectrics for Neuromorphic Vision Sensors
ABSTRACT Interface engineering based on polymer dielectrics shows great promise in organic field‐effect transistors (OFETs)‐based neuromorphic vision sensors (NeuVS). However, the highly disordered chain arrangement of polymer dielectrics often has a negative impact on the dynamic behavior of charge carriers, thereby affecting the sensing, memory, and computing performance of devices. To this end, we report an effective strategy to improve the orientation of polymer dielectrics by using a coordination combination of metal–organic frameworks (MOFs) and polymer. As a result, the coordination of MOFs with polymers improves the polarization of hydroxyl (−OH) and the resulting interfacial dipole could achieve an increase of photogenerated carriers in NeuVS with both higher mobility (above 20 cm 2 /(V ∙ s)) and better optical figures of merit than devices without the coordination of MOFs. Furthermore, the new MOFs‐polymer dielectric gives NeuVS devices temporal dynamics that enable better color extraction in static images. More importantly, in‐sensor perception of moving objects was simulated, allowing postprocessing to produce over 95% action recognition accuracy. This attempt provides a new idea for the development of dielectric materials for highly sensitive light detection and visuomorphic computing.
Authors
- Haifeng Ling (ORCID: https://orcid.org/0000-0001-8555-0391)
- Meiting Zhao (ORCID: https://orcid.org/0000-0002-0776-5626)
- Hongzhen Lin (ORCID: https://orcid.org/0000-0001-8764-1246)
- Gen Li (ORCID: https://orcid.org/0000-0003-2358-7505)
- Zhongxiang Peng (ORCID: https://orcid.org/0000-0002-1522-634X)
- Long Ye (ORCID: https://orcid.org/0000-0002-5884-0083)
- Dongyang Zhu (ORCID: https://orcid.org/0000-0002-3413-5419)
- Xiang He (ORCID: https://orcid.org/0000-0002-2417-9063)
- Deyang Ji (ORCID: https://orcid.org/0000-0002-8206-3130)
- Jian Wang (ORCID: https://orcid.org/0000-0002-7945-0826)
- Jing Du
- Wenping Hu
Institutions
- Tianjin University (CN)
- Chinese Academy of Sciences (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Suzhou Institute of Nano-tech and Nano-bionics (CN)
- Collaborative Innovation Center of Chemical Science and Engineering Tianjin (CN)
- Aalto University (FI)
Publication Details
- Journal
- SmartMat
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1002/smm2.1322
- Citations
- 13
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 9.50
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Beijing National Laboratory for Molecular Sciences