Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications

Area of Science:

• Materials Science
• Computer Engineering
• Neuroscience

Background:

• The Von Neumann architecture faces limitations like the memory bottleneck, impacting large dataset and concurrent program processing.
• Neuromorphic computing, inspired by brain architecture, offers a high-performance, energy-efficient alternative.
• Artificial synaptic devices are key components in advancing neuromorphic computing.

Purpose of the Study:

• This review focuses on emerging artificial synaptic devices utilizing organic semiconductors.
• It explores various organic semiconductor material systems, fabrication techniques, and device architectures.
• The review also discusses applications and challenges in organic artificial synapse development.

Main Methods:

• Review of existing literature on organic semiconductor materials for artificial synapses.
• Analysis of different fabrication methods and device structures for organic artificial synaptic devices.
• Discussion of current applications and future challenges in the field.

Main Results:

• Organic semiconductors present advantages over other materials due to their photoelectric properties, material diversity, and ease of preparation.
• Organic semiconductors are suitable for flexible, large-area film applications in neuromorphic devices.
• Various organic semiconductor materials and device designs are being explored for artificial synapses.

Conclusions:

• Organic artificial synaptic devices show significant promise for next-generation computing.
• Further research is needed to address challenges in achieving human-like dynamic perception in organic neuromorphic systems.
• Organic semiconductors are a key material class driving innovation in neuromorphic computing.