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Organic semiconductors hold immense promise in the field of optoelectronic synapses due to their tunable optoelectronic properties, mechanical flexibility, and biocompatibility. This review article provides a comprehensive overview of recent advancements in organic optoelectronic synaptic devices. We delve into the fundamental concepts and classifications of these devices, examine their roles and operational mechanisms, and explore their diverse application scenarios. Additionally, we highlight the current challenges and emerging opportunities in this field, outlining a forward-looking path for the future development and application of these materials and devices in next-generation artificial intelligence (AI). We emphasize the potential of further optimizing organic materials and devices, which could significantly enhance the integration of organic synapses into biointegrated electronics and human–computer interfaces. By addressing key challenges such as material stability, device performance, and scalability, we aim to accelerate the transition from laboratory research to practical applications, paving the way for innovative AI systems that mimic biological neural networks.
Details
Artificial intelligence;
Memory;
Semiconductors;
Brain research;
Synapses;
Signal processing;
Organic materials;
Metal oxides;
Optoelectronic devices;
Energy consumption;
Efficiency;
Neural networks;
Human-computer interface;
Information storage;
Flexibility;
Phase transitions;
Design;
Devices;
Silicon wafers;
Information processing;
Nervous system;
Tissues;
Organic semiconductors;
Quantum dots
1 School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; [email protected]
2 School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; [email protected], Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China