Mutsumi Kimura, Yuji Miyato, Michihiro Shintani, Mami N. Fujii, Yusaku Magari, Hidenori Kawanishi, Tokiyoshi Matsuda, Juan Paolo Bermundo, Takanori Takahashi, Yukiharu Uraoka, Takumi Kuwahara, Reon Oshio, Yasuhiko Nakashima, Yi‐Chien Chen, C. P. Chiu, Chih-Lung Lin
Artificial intelligence will spread exponentially and requires compact size and energy efficiency, for which one solution is neuromorphic systems. On the other hand, thin-film semiconductor technologies have spread widely and feature as giant-micro electronics. In this study, an amorphous metal-oxide semiconductor (AOS) thin-film neuron, synapse, and neuromorphic system are researched and developed. First, an AOS thin-film transistor (TFT) is fabricated and evaluated experimentally, and the experiment results are reproduced by a simulation model. A thin-film neuron composed of the AOS TFTs is designed, fabricated, and confirmed to work in a circuit simulation and experimentally, and this behavior is desirable for the thin-film neuron. Next, an AOS thin-film memristor and AOS thin-film Schottky diode are fabricated and evaluated experimentally, these characteristics are desirable for them, and the experiment results are reproduced by a simulation model. Thin-film synapses composed of the AOS thin-film memristors and Schottky diodes are designed, fabricated, and confirmed to work in a circuit simulation using simulation models of the AOS TFT and AOS thin-film Schottky diode, and the simulation results are reproduced by a fitting model. Lastly, a neuromorphic system composed of the thin-film neurons and synapses is designed, fabricated, and confirmed to work in a logic simulation. Training is executed using circuit-aware training based on the circuit behavior and training images of the MNIST, inference is performed, and the recognition accuracy achieves 94.1%. Finally, it is concluded that the AOS thin-film neuron, synapse, and neuromorphic system are feasible.