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Supporting data for “Multi-Scale Engineering of Composite Polymer Electrolytes: From Nano-scale Filler Functionalization to Macro-scale Gradient Architectures”

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DataCite Commons2025-12-23 更新2026-05-03 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_Multi-Scale_Engineering_of_Composite_Polymer_Electrolytes_From_Nano-scale_Filler_Functionalization_to_Macro-scale_Gradient_Architectures_/30828134
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资源简介:
This thesis presents a holistic strategy for designing materials for next-generation electrochemical energy storage devices, including electrocatalysts and solid-state batteries. The experimental works presented in this thesis delineates a logical progression in material design to overcome performance limitations by engineering targeted atomic-scale defects to tailor electronic and ionic properties, then scaling these principles to design optimized nanoscale interfaces, and finally integrating them into functional macro-scale architectures.<br><br>The dataset includes all the experimental data (e.g. XPS, XRD, DSC, SEM, FTIR, SAXS, etc., and electrochemical performance of catalysts &amp; batteries) for material characterization and electronic structure analysis.
提供机构:
HKU Data Repository
创建时间:
2025-12-09
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