Experimental data-driven efficient exploration of the composition and process conditions of Li-rich NASICON-type solid electrolytes
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These are the supporting materials for<br>"Experimental data-driven efficient exploration of the composition and process conditions of Li-rich NASICON-type solid electrolytes", https://doi.org/10.1016/j.nxmate.2025.100574<br><br>Data_collected_in_previous_studies: Li-ion conductivities at 30 °C of LCZSP obtained in the previous study [1,2]<br>[1] H. Fukuda<i> et al.,</i> <i>RSC Adv</i>, 2022, <b>12</b>, 30696–30703.<br>[2] 1 H. Takeda<i> et al.,</i> <i>Mater. Adv.</i>,.2022, <b>3</b>, 8141-8148.<br><br>20241010_bayesian_optimization : files for Bayesian optimization<br>20250204_regression_analysis : files for regression analysis<br>Supplementary_Data_1: After 12<sup>th</sup> iteration Conductivity of the unsynthesised sample estimated by Bayesian optimisation (Gaussian process) afterwards and measured conductivity of the synthesised sample.Supplementry_Data_2: Estimated conductivity from eight different regression analysis models
