Data underlying the article: Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films

This dataset contains the data underlying the article "Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films". In this article, drift-diffusion simulations are performed of the electrochemical charging of quantum dot films, with the aim of obtaining a deeper understanding of the underlying processes of electrochemical doping. The results of these simulations are then compared to experimental electrochemical data. Most of the data in this dataset are raw .csv files which were directly outputted by the simulator. In addition, some experimental data is included, which was obtained earlier in electrochemical experiments. Data are either cyclic voltammograms or states obtained during the simulations (containing the concentration and potential profiles at a certain moment in time). For convenience in the interpretation of this data, python scripts have been included that can be used to convert the raw data into the graphics used in the article. The simulator program itself and accompanying instructions are available via github (follow the link below or the link in the article itself).

本数据集收录了论文《用于模拟纳米晶体薄膜电化学充电的数值模型》（Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films）的支撑数据。该论文针对量子点薄膜的电化学充电过程开展漂移-扩散模拟（drift-diffusion simulations），旨在深入解析电化学掺杂的内在作用机制。研究人员将上述模拟结果与电化学实验数据进行了对比分析。本数据集的绝大多数数据为模拟器直接输出的原始逗号分隔值（.csv）文件；此外还收录了前期电化学实验中获取的部分实验数据。数据集内的数据分为两类：一类为循环伏安图（cyclic voltammograms），另一类为模拟过程中采集的状态数据，包含特定时刻的浓度与电势分布曲线。为便于数据解析，本数据集附带了可将原始数据转换为论文所用图表的Python脚本。模拟器程序本体及配套使用说明可通过GitHub获取，具体链接可参见本文下方或论文内的相关链接。