Saransh Shrivastava, Wei-Sin Dai, Stephen Ekaputra Limantoro, Hans Juliano, Tseung-Yuen Tseng
{"title":"基于 Zn2SnO4/Ga2O3 异质结的紫光响应型 ReRAM,作为视觉感知和内存计算的人工突触","authors":"Saransh Shrivastava, Wei-Sin Dai, Stephen Ekaputra Limantoro, Hans Juliano, Tseung-Yuen Tseng","doi":"10.1002/aelm.202400527","DOIUrl":null,"url":null,"abstract":"Due to the imitation of the neural functionalities of the human brain via optical modulation of resistance states, photoelectric resistive random access memory (ReRAM) devices attract extensive attraction for synaptic electronics and in-memory computing applications. In this work, a photoelectric synaptic ReRAM (PSR) of the structure of ITO/Zn<sub>2</sub>SnO<sub>4</sub>/Ga<sub>2</sub>O<sub>3</sub>/ITO/glass with a simple fabrication process is reported to imitate brain plasticity. Electrically induced long-term potentiation/depression (LTP/D) behavior indicates the fulfillment of the fundamental requirement of artificial neuron devices. Classification of three-channeled images corrupted with different levels (0.15–0.9) of Gaussian noise is achieved by simulating a convolutional neural network (CNN). The violet light (405 nm) illumination generates excitatory post synaptic current (EPSC), which is influenced by the persistent photoconductivity (PPC) effect after discontinuing the optical excitation. As an artificial neuron device, PSR is able to imitate some basic neural functions such as multi-levels of photoelectric memory with linearly increasing trend, and learning-forgetting-relearning behavior. The same device also shows the emulation of visual persistency of optic nerve and skin-damage warning. This device executes high-pass filtering function and demonstrates its potential in the image-sharpening process. These findings provide an avenue to develop oxide semiconductor-based multifunctional synaptic devices for advanced in-memory photoelectric systems.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"8 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Violet-Light-Responsive ReRAM Based on Zn2SnO4/Ga2O3 Heterojunction as an Artificial Synapse for Visual Sensory and In-Memory Computing\",\"authors\":\"Saransh Shrivastava, Wei-Sin Dai, Stephen Ekaputra Limantoro, Hans Juliano, Tseung-Yuen Tseng\",\"doi\":\"10.1002/aelm.202400527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the imitation of the neural functionalities of the human brain via optical modulation of resistance states, photoelectric resistive random access memory (ReRAM) devices attract extensive attraction for synaptic electronics and in-memory computing applications. In this work, a photoelectric synaptic ReRAM (PSR) of the structure of ITO/Zn<sub>2</sub>SnO<sub>4</sub>/Ga<sub>2</sub>O<sub>3</sub>/ITO/glass with a simple fabrication process is reported to imitate brain plasticity. Electrically induced long-term potentiation/depression (LTP/D) behavior indicates the fulfillment of the fundamental requirement of artificial neuron devices. Classification of three-channeled images corrupted with different levels (0.15–0.9) of Gaussian noise is achieved by simulating a convolutional neural network (CNN). The violet light (405 nm) illumination generates excitatory post synaptic current (EPSC), which is influenced by the persistent photoconductivity (PPC) effect after discontinuing the optical excitation. As an artificial neuron device, PSR is able to imitate some basic neural functions such as multi-levels of photoelectric memory with linearly increasing trend, and learning-forgetting-relearning behavior. The same device also shows the emulation of visual persistency of optic nerve and skin-damage warning. This device executes high-pass filtering function and demonstrates its potential in the image-sharpening process. 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A Violet-Light-Responsive ReRAM Based on Zn2SnO4/Ga2O3 Heterojunction as an Artificial Synapse for Visual Sensory and In-Memory Computing
Due to the imitation of the neural functionalities of the human brain via optical modulation of resistance states, photoelectric resistive random access memory (ReRAM) devices attract extensive attraction for synaptic electronics and in-memory computing applications. In this work, a photoelectric synaptic ReRAM (PSR) of the structure of ITO/Zn2SnO4/Ga2O3/ITO/glass with a simple fabrication process is reported to imitate brain plasticity. Electrically induced long-term potentiation/depression (LTP/D) behavior indicates the fulfillment of the fundamental requirement of artificial neuron devices. Classification of three-channeled images corrupted with different levels (0.15–0.9) of Gaussian noise is achieved by simulating a convolutional neural network (CNN). The violet light (405 nm) illumination generates excitatory post synaptic current (EPSC), which is influenced by the persistent photoconductivity (PPC) effect after discontinuing the optical excitation. As an artificial neuron device, PSR is able to imitate some basic neural functions such as multi-levels of photoelectric memory with linearly increasing trend, and learning-forgetting-relearning behavior. The same device also shows the emulation of visual persistency of optic nerve and skin-damage warning. This device executes high-pass filtering function and demonstrates its potential in the image-sharpening process. These findings provide an avenue to develop oxide semiconductor-based multifunctional synaptic devices for advanced in-memory photoelectric systems.
期刊介绍:
Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.