# XMe_DataAnalysis

**Repository Path**: Pilab-XMU/XMe_DataAnalysis

## Basic Information

- **Project Name**: XMe_DataAnalysis
- **Description**: This is a Single-Molecule Break Junctions experiment data processing software built with Python and PyQt5.
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: shangchi
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2022-11-22
- **Last Updated**: 2025-09-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<img src="./images/pilab-logo.png" alt="logo" height="120" align="right" title="Pilab DataAnalysis" />

# XMe-DataAnalysis
[![license](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](https://github.com/Pilab-XMU/XMe_DataAnalysis/blob/master/LICENSE)
[![author](https://img.shields.io/badge/author-Gang--Dong-blue.svg)](https://github.com/Gang-Dong)

This is a Single-Molecule Break Junctions experiment data processing software built with [Python](https://www.python.org) and [PyQt5](https://riverbankcomputing.com/software/pyqt/download5), licensed under the [Apache 2.0](LICENSE).

## Environmental requirements
* Windows10
* python(3.8+)

## Download software  
Please click [here](https://github.com/Pilab-XMU/XMe_DataAnalysis/releases) to download the data processing software.

## User Guide  

Please click [here](https://github.com/Pilab-XMU/XMe_DataAnalysis/tree/shangchi/guide)to read user guide.

## ISSUES  
If there are any problems during use, 
please [issue](https://github.com/Pilab-XMU/XMe_DataAnalysis/issues) or contact me by `email(shangchixmu@stu.xmu.edu.cn)`

## LICENSE
The users of XMe code should state "The data is analyzed by XMe open-source code(github.com/Pilab-XMU/XMe_DataAnalysis) by Prof. Wenjing Hong's group in Xiamen University." in the desciption of experimental method in the paper, and cite 3 references in the paper as follows:
1. Pan, Z.; …Hong, W., XMe-Xiamen Molecular Electronics code: an intelligent and open-source data analysis tool for single-molecule conductance measurements. Chinese Journal of Chemistry, 2024, 42, 317
2. Liu, J.; …Hong, W., Transition from tunneling leakage current to molecular tunneling in single-molecule junctions, Chem, 2019, 5, 390-401.
3. Bai, J.; …Hong, W., Anti-resonance features of destructive quantum interference in single-molecule thiophene junctions achieved by electrochemical gating, Nature Materials, 2019, 18, 364–369.
4. Tang, C.; …Hong, W., Multicenter-Bond-Based quantum interference in charge transport through single-molecule carborane junctions, Angewandte Chemie International Editions, 2019, 58 (31), 10601-10605.

For the use of the clustering algorithm, please also refer to the reference of Reference 4-5:

5. Lin, L.; …Hong, W., Spectral Clustering to Analyze the Hidden Events in Single-Molecule Break Junctions, The Journal of Physical Chemistry C, 2021, 125(6), 3623–3630
6. Huang, F.; …Hong, W., Automatic classification of single-molecule charge transport data with an unsupervised machine-learning algorithm, Physical Chemistry Chemical Physics, 2020, 22, 1665-1673.
7. Shang C.; ...Hong, W., Low-probability events detection using unsupervised multi-prototype clustering for single-molecule electronics,Nano Research, 2025, 18(4): 94907276.

For the analysis of PSD flicker noise analysis, please also refer to Reference 6:

8. Pan, Z.; …Hong, W., The evolution of charge transport mechanism in single-molecule break junction revealed by the flicker noise analysis, Small, 2021, DOI: 10.1002/smll.202107220    
## AUTHOR
- Qiaoxian Guo,`email(qiaoxianxmu@stu.xmu.edu.cn)`
- Gang Dong
- Ruihao Li
- Zhichao Pan
- Luchun Lin
- Wenjing Hong,`email(whong@xmu.edu.cn)`