断开连接
化学
电导
分子
表征(材料科学)
数码产品
编码(集合论)
纳米技术
计算机科学
物理
材料科学
有机化学
物理化学
集合(抽象数据类型)
程序设计语言
凝聚态物理
作者
Zhichao Pan,Gang Dong,Chi Shang,Ruihao Li,Tengyang Gao,Luchun Lin,Huicong Duan,Xiaohui Li,Jie Bai,Yilin Lai,Wenfeng Wu,Jia Shi,Junyang Liu,Wenjing Hong
标识
DOI:10.1002/cjoc.202300443
摘要
Comprehensive Summary 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI