Source data of Graphene oxide-polydopamine membranes with controlled interlayer spacing

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.