Dataset of "Tailored Silicon Nanostructures in Conductive-based Hydrogel Binders: Impact of Size, Structure, and Surface Chemistry on Li-Ion Battery Performance" [* Cross-Reference *]

Version 1.0
Soukupová, Gabriela; Matějka, Filip; Vlčková Živcová, Zuzana; laachachi, abdelghani; Galář, Pavel; Lhotka, Miloslav; Frank, Otakar; Hassouna, Fatima; Paušová, Šárka; Bouzek, Karel, 2025, "Dataset of "Tailored Silicon Nanostructures in Conductive-based Hydrogel Binders: Impact of Size, Structure, and Surface Chemistry on Li-Ion Battery Performance" [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.08KL67, LIST Open Repository, V1
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Description
This study investigated the performance of Si-based anode materials for Li-ion batteries. These materials were prepared via the in situ polymerization of a conductive polypyrrole (PPy) hydrogel using an environmentally friendly, waterborne approach. Phytic acid (PhA), a naturally occurring molecule, was employed as a crosslinking agent for the PPy chains, while polyacrylic acid (PAA) served as a stabilizing agent for the Si nanoparticles. The PPy hydrogel functioned as a high-performance conductive binder, conformally coating the Si nanoparticles. The study examined the effects of size, surface chemistry and solid-state properties (amorphous versus crystalline) of both commercial and lab-synthesized Si nanoparticles including Si quantum dots (SiQD) on the structural, morphological, and electrochemical performance of the Si-based anode materials. These insights enabled the optimization of Si-based anodes for enhanced electrochemical performance. A clear correlation was established between Si nanoparticle size, solid-state properties, and the resulting electrochemical performance of the developed anodes. The optimized Si-based anodes exhibited a well-balanced combination of specific capacity and rate capability. (2025-07-08)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.15834627 for the original and latest version of the dataset and data downloads*** (2025-07-10)
Subject Chemistry; Physics
Keyword VZ1, 214 021, 214 023, 214 024, VSCHT, Li-ion battery, Si nanocrystals, electrochemical properties, 3D network, electrically conductive polymer
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