Photoelectric Memristor With Self-Powered for Dynamic Information Recognition
The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is in...
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Published in | IEEE transactions on electron devices Vol. 72; no. 6; pp. 3322 - 3326 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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New York
IEEE
01.06.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A <inline-formula> <tex-math notation="LaTeX">3\times 5 </tex-math></inline-formula> array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing. |
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AbstractList | The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A [Formula Omitted] array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing. The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A <inline-formula> <tex-math notation="LaTeX">3\times 5 </tex-math></inline-formula> array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing. |
Author | Sun, Qi-Jun Jiang, Yan-Ping Tang, Zhen-Hua Li, Dong-Liang Chen, Zhi-Long Zhang, Dan Tang, Xin-Gui Li, Wen-Hua |
Author_xml | – sequence: 1 givenname: Dong-Liang orcidid: 0009-0008-4649-6036 surname: Li fullname: Li, Dong-Liang organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 2 givenname: Zhi-Long surname: Chen fullname: Chen, Zhi-Long organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 3 givenname: Xin-Gui surname: Tang fullname: Tang, Xin-Gui email: xgtang@gdut.edu.cn organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 4 givenname: Qi-Jun surname: Sun fullname: Sun, Qi-Jun organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 5 givenname: Dan orcidid: 0000-0001-6492-8690 surname: Zhang fullname: Zhang, Dan organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 6 givenname: Zhen-Hua surname: Tang fullname: Tang, Zhen-Hua organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 7 givenname: Wen-Hua surname: Li fullname: Li, Wen-Hua organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China – sequence: 8 givenname: Yan-Ping surname: Jiang fullname: Jiang, Yan-Ping organization: School of Physics and Optoelectric Engineering and Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou, China |
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SubjectTerms | Annealing Bionics Bismuth titanate Data processing Data storage Dynamic characteristics Hafnium compounds Heterojunction Heterojunctions Image processing systems Memristors Natural language processing Optical imaging Optical pulses persistent photocurrent (PPC) Photoconductivity Photoelectric effect photoelectric memristor Photoelectricity physical reservoir Plastic properties Scanning electron microscopy Speech recognition Synapses synaptic behaviors Vision systems |
Title | Photoelectric Memristor With Self-Powered for Dynamic Information Recognition |
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