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Variable Learning-Memory Behavior fromπ-Conjugated Ligand to Ligand-Containing Cobalt(II)Complex

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摘要 In the information-explosion era,developing novel algorithms and memristive devices has become a promising concept for next-generation capacity enlargement technology.Organic small molecule-based devices displaying superior learning-memory performance have attracted much attention,except for the existence of poor heat-resilience and mediocre conductivity.In this paper,a strategy of transforming an organic-type data-storage material to metal complex is proposed to resolve these intrinsic issues.A pristine NDI-derivative(NIPy)and its corresponding Co(II)complex(CoNIPy)are synthesized for the purpose of electrical property investigation.CoNIPy complex-based memristive device exhibits superior ternary WORM memory performance compared with the binary behavior of NIPy,including>104 s of reading,lower threshold voltage(V_(th)),1:10^(2):10^(5)of OFF/ON1/ON2 current ratio,and long-term stability in heating environment.The variable learning-memory behavior can be attributed to the enhanced ligand-to-metal charge transfer(LMCT)and improved redox activity after the introduction of central metal atom and coordination bond.These studies on material innovation and optimal performance are of great importance not only for environmentally-robust memristive devices but also for practical application of a host of organic electronic devices.
出处 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2022年第19期2296-2304,共9页 中国化学(英文版)
基金 Y.L.thanks financial support from the National Natural Science Foundation of China(Grants No.22008164) the Natural Science Foundation of Jiangsu Province(Grants No.BK20190939) the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grants No.19KJB150018) This work is also supported by Six Talent Peaks Project of Jiangsu Province,China(XCL-078) Jiangsu Key Disciplines of the Fourteenth Five-Year Plan(2021135) the Suzhou Key Laboratory for Low Dimensional Optoelectronic Materials and Devices(SzS201611) Q.Z.thanks thefunding support from City University of Hong Kong(9380117,7005620 and 7020040)and Hong Kong Institute for Advanced Study,City University of Hong Kong,Hong Kong,P.R.China.
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