Recent progress in organic optoelectronic synaptic transistor arrays: fabrication strategies and innovative applications of system integration

Abstract The rapid growth of artificial intelligence has accelerated data generation, which increasingly exposes the limitations faced by traditional computational architectures, particularly in terms of energy consumption and data latency. In contrast, data-centric computing that integrates processing and storage has the potential of reducing latency and energy usage. Organic optoelectronic synaptic transistors have emerged as one type of promising devices to implement the data-centric computing paradigm owing to their superiority of flexibility, low cost, and large-area fabrication. However, sophisticated functions including vector-matrix multiplication that a single device can achieve are limited. Thus, the fabrication and utilization of organic optoelectronic synaptic transistor arrays (OOSTAs) are imperative. Here, we summarize the recent advances in OOSTAs. Various strategies for manufacturing OOSTAs are introduced, including coating and casting, physical vapor deposition, printing, and photolithography. Furthermore, innovative applications of the OOSTA system integration are discussed, including neuromorphic visual systems and neuromorphic computing systems. At last, challenges and future perspectives of utilizing OOSTAs in real-world applications are discussed.

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Publication Details

Journal
Journal of Semiconductors
Published
2025-02-01
DOI
https://doi.org/10.1088/1674-4926/24120017
Citations
12
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
8.77
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article

Recent progress in organic optoelectronic synaptic transistor arrays: fabrication strategies and innovative applications of system integration

Pu Guo, Jia Dong Huang, Junyao Zhang
12 citations
Journal of Semiconductors
Advanced Memory and Neural Computing
8.77
article

Recent progress in organic optoelectronic synaptic transistor arrays: fabrication strategies and innovative applications of system integration

Pu Guo, Jia Dong Huang, Junyao Zhang
article en
12 citations

Abstract

Abstract The rapid growth of artificial intelligence has accelerated data generation, which increasingly exposes the limitations faced by traditional computational architectures, particularly in terms of energy consumption and data latency. In contrast, data-centric computing that integrates processing and storage has the potential of reducing latency and energy usage. Organic optoelectronic synaptic transistors have emerged as one type of promising devices to implement the data-centric computing paradigm owing to their superiority of flexibility, low cost, and large-area fabrication. However, sophisticated functions including vector-matrix multiplication that a single device can achieve are limited. Thus, the fabrication and utilization of organic optoelectronic synaptic transistor arrays (OOSTAs) are imperative. Here, we summarize the recent advances in OOSTAs. Various strategies for manufacturing OOSTAs are introduced, including coating and casting, physical vapor deposition, printing, and photolithography. Furthermore, innovative applications of the OOSTA system integration are discussed, including neuromorphic visual systems and neuromorphic computing systems. At last, challenges and future perspectives of utilizing OOSTAs in real-world applications are discussed.

Journal of SemiconductorsVol. 46(2)
Tongji University (CN)
Openalex Percentile: Top 2%
Advanced Memory and Neural Computing
8.77
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Recent progress in organic optoelectronic synaptic transistor arrays: fabrication strategies and innovative applications of system integration — Pu Guo, Jia Dong Huang, et al. · Journal of Semiconductors (2025) | TGRS Research Map | TGRS