https://scholars.lib.ntu.edu.tw/handle/123456789/625466
標題: | Polymer synaptic transistors from memory to neuromorphic computing | 作者: | Yang Y.-T Tien H.-C CHU-CHEN CHUEH Lee W.-Y. |
關鍵字: | Artificial synapse; Field-effect transistor; Neuromorphic computing; Non-volatile memory; Polymer | 公開日期: | 2022 | 卷: | 287 | 來源出版物: | Materials Chemistry and Physics | 摘要: | Neuromorphic engineering, inspired by the biological brain, is an emerging technique that uses electronic components to imitate the characteristics of biological neurons. Neuromorphic electronics provide several advantages, including learning capability, low power consumption, and rapid response, which offer a possible solution to improve the performance of electronic systems. Polymer-based field-effect transistors (FETs) with non-volatile memory characteristics have been considered promising devices for neuromorphic computing due to their unique electronic properties, excellent mechanical properties, solution processability, and biocompatibility. This review introduces the recent progress of polymer-based synaptic transistors from non-volatile memory mechanisms to artificial synaptic functions. Furthermore, Memory mechanisms and operations of various chargeable dielectrics and semiconductors for synaptic functions are also introduced. Through the designs of materials, device structures, and circuits, polymer-based artificial synapses will significantly impact the development of energy-efficient neuromorphic computing. © 2022 Elsevier B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130539774&doi=10.1016%2fj.matchemphys.2022.126263&partnerID=40&md5=5be725e7dfa732cc372e7de7c99a1d58 https://scholars.lib.ntu.edu.tw/handle/123456789/625466 |
ISSN: | 02540584 | DOI: | 10.1016/j.matchemphys.2022.126263 | SDG/關鍵字: | Biocompatibility; Electronic properties; Field effect transistors; Nonvolatile storage; Artificial synapse; Biological neuron; Electronic component; Field-effect transistor; Learning capabilities; Low-power consumption; Neuromorphic; Neuromorphic computing; Neuromorphic engineering; Polymer based; Energy efficiency |
顯示於: | 化學工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。