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These data-driven approaches enable high-throughput screening of heteroatom-doping configurations, prediction of ion transport dynamics in complex porous architectures, and autonomous optimization of electrolyte formulations, thereby accelerating the discovery of next-generation electrode materials and device architectures beyond traditional trial-and-error methodologies

The work was supported by the Monash University Ramaciotti Centre for Cryo-Electron Microscopy, the Bio21 Ian Holmes Imaging Centre (The University of Melbourne) and the Monash eResearch capabilities, including M3 High-performance computing