Charge transport characterization of single-molecule junctions is essential for the fundamental research of single-molecule physical chemistry and the development towards single-molecule electronic devices and circuit...Charge transport characterization of single-molecule junctions is essential for the fundamental research of single-molecule physical chemistry and the development towards single-molecule electronic devices and circuits. Among the single-molecule conductance characterization techniques,the single-molecule break junction technique is widely used in tens of worldwide research laboratories which can generate a large amount of experimental data from thousands of individual measurement cycles. However,data interpretation is a challenging task for researchers with different research backgrounds,and the different data analysis approaches sometimes lead to the misunderstanding of the measurement data and even reproducibility issues of the measurement. It is thus a necessity to develop a user-friendly all-in-one data analysis tool that automatizes the basic data analysis in a standard and widely accepted way. In this work,we present the XMe Code (Xiamen Molecular Electronics Code),an intelligent all-in-one data analysis tool for the comprehensive analysis of single-molecule break junction data. XMe code provides end-to-end data analysis that takes in the original experimental data and returns electronic characteristics and even charge transport mechanisms. We believe that XMe Code will promote the transparency of the data analysis in single-molecule electronics and the collaborations among scientists with different research backgrounds.展开更多
Summary of main observation and conclusion CF3S,CF3 and HCF2 groups have been identified as valuable functionalities for drug development.Despite significant accomplishments in the trifluoromethylthiolation,trifluorom...Summary of main observation and conclusion CF3S,CF3 and HCF2 groups have been identified as valuable functionalities for drug development.Despite significant accomplishments in the trifluoromethylthiolation,trifluoromethylation and d讦luoromethylation reactions,directly converting common functional groups into CF3S,CF3 or HCF2 groups is still highly desirable.展开更多
基金supported by the National Natural Science Foundation of China(22325303,21973079,22032004)the National Key R&D Program of China(2017YFA0204902)+2 种基金the Fundamental Research Funds for the Central Universities in China(Xiamen University,20720190002)IRTSTFJ,National Science Foundation of Fujian Province(2018J06004)Beijing National Laboratory for Molecular Sciences(BNLMS202005).
文摘Charge transport characterization of single-molecule junctions is essential for the fundamental research of single-molecule physical chemistry and the development towards single-molecule electronic devices and circuits. Among the single-molecule conductance characterization techniques,the single-molecule break junction technique is widely used in tens of worldwide research laboratories which can generate a large amount of experimental data from thousands of individual measurement cycles. However,data interpretation is a challenging task for researchers with different research backgrounds,and the different data analysis approaches sometimes lead to the misunderstanding of the measurement data and even reproducibility issues of the measurement. It is thus a necessity to develop a user-friendly all-in-one data analysis tool that automatizes the basic data analysis in a standard and widely accepted way. In this work,we present the XMe Code (Xiamen Molecular Electronics Code),an intelligent all-in-one data analysis tool for the comprehensive analysis of single-molecule break junction data. XMe code provides end-to-end data analysis that takes in the original experimental data and returns electronic characteristics and even charge transport mechanisms. We believe that XMe Code will promote the transparency of the data analysis in single-molecule electronics and the collaborations among scientists with different research backgrounds.
基金The authors thank the National Natural Science Foundation of China(Nos.21421002,21672242,21971252)the Key Research Program of Frontier Sciences(CAS)(QYZDJSSW-SLH049)+1 种基金Youth Innovation Promotion Association CAS(2019256)Shanghai Research Institute of Chemical Industry Co.,Ltd.(SKL-LCTP-201802)for financial support.
文摘Summary of main observation and conclusion CF3S,CF3 and HCF2 groups have been identified as valuable functionalities for drug development.Despite significant accomplishments in the trifluoromethylthiolation,trifluoromethylation and d讦luoromethylation reactions,directly converting common functional groups into CF3S,CF3 or HCF2 groups is still highly desirable.
