2026-10-15T02:17:24Z https://www.scidb.cn/oai

10.57760/sciencedb.43537 2026-07-31T16:04:34Z

2026-07-31 Source data of Graphene oxide-polydopamine membranes with controlled interlayer spacing doi:10.57760/sciencedb.43537 en This dataset contains the computational and experimental data supporting the investigation of dynamically tunable graphene oxide membrane (GOM)-based nanoconfined structures, including molecular simulation results, structural characterization data, assembly kinetics, and membrane separation performance measurements.The dataset was generated during the study of dopamine (DA)-regulated interlayer engineering of graphene oxide membranes. The research aims to understand the molecular-level assembly mechanism of DA molecules within GO nanochannels, the evolution of confined structures, and the relationship between nanoscale structural regulation and macroscopic ion/water transport properties.The dataset is organized according to the corresponding figures in the manuscript. Each data file contains numerical values extracted from molecular simulations, microscopic characterization, or membrane performance measurements. The data are provided in commonly used formats (Excel) to facilitate reuse, visualization, and further analysis. Graphene oxide-polydopamine membranes; Timescale separated assembly and reaction strategy; controlled interlayer spacing Youhua Lu Laiyang Wei Zi-an Xie Xuefei Wu Han Xue Huimei Su Jie Liu Mengfei Jing Junjie Chen Guosheng Shi Zhenhuang Su Fenggang Bian Zhi-Kang Xu Chongqin Zhu Wei-Hai Fang Xiao Cheng Zeng Jianjun Wang PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset http://www.doi.org/10.1038/s41586-026-10765-4 Science Data Bank