文献类型：期刊文献

英文题名：Redox-Active Azulene-based 2D Conjugated Covalent Organic Framework for Organic Memristors

作者：Zhao, Zhizheng[1,2];El-Khouly, Mohamed E.[4];Che, Qiang[1,2];Sun, Fangcheng[1,2];Zhang, Bin[1,2];He, Haidong[3];Chen, Yu[1,2]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Mat, Feringa Nobel Prize Scientist Joint Res Ctr, Sch Chem & Mol Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Joint Int Res Lab Precis Chem & Mol Engn, Feringa Nobel Prize Scientist Joint Res Ctr, Sch Chem & Mol Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[3]Fudan Univ, Minhang Hosp, 170 Xinsong Rd, Shanghai 201199, Peoples R China;[4]Egypt Japan Univ Sci & Technol E JUST, Inst Basic & Appl Sci, Alexandria 21934, Egypt

年份：2023

卷号：62

期号：7

外文期刊名：ANGEWANDTE CHEMIE-INTERNATIONAL EDITION

收录：;EI(收录号：20230213371798);WOS:【SCI-EXPANDED(收录号:WOS:000911036800001)】；

基金：This work was financially supported by the National Natural Science Foundation of China (51961145402, 51333002, and 51973061), Shanghai Rising-Star Program (21QA1402100), the Fundamental Research Funds for the Central Universities (50321041918013) and Natural Science Foundation of Shanghai (19ZR1413100). Prof. El-Khouly is thankful for the financial support provided by the Egyptian Academy of Scientific Research and Technology (ASRT).

语种：英文

外文关键词：Azulene; Covalent Organic Framework; Image Recognition; Materials Synthesis; Organic Memristors

摘要：As a conjugated and unsymmetric building block composed of an electron-poor seven-membered sp(2) carbon ring and an electron-rich five-membered carbon ring, azulene and its derivatives have been recognized as one of the most promising building blocks for novel electronic devices due to its intrinsic redox activity. By using 1,3,5-tris(4-aminophenyl)-benzene and azulene-1,3-dicarbaldehyde as the starting materials, an azulene(Azu)-based 2D conjugated covalent organic framework, COF-Azu, is prepared through liquid-liquid interface polymerization strategy for the first time. The as-fabricated Al/COF-Azu/indium tin oxide (ITO) memristor shows typical non-volatile resistive switching performance due to the electric filed induced intramolecular charge transfer effect. Associated with the unique memristive performance, a simple convolutional neural network is built for image recognition. After 8 epochs of training, image recognition accuracy of 80 % for a neutral network trained on a larger data set is achieved.