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Dataset for "Micrometer-Scale Carbon Skeleton Optimization Enables Low-Expansion Silicon-Carbon Composites for High-Performance Lithium-Ion Batteries"

低膨張シリコン-カーボン複合材料を実現するマイクロスケールカーボンスケルトン最適化のためのデータセット (AI 翻訳)

Ye Lin, Huang Qiang, Gongchang Peng, Guilei Tian, Bai Hongyou, Zhou Xiaoqing, Yi-Xiang Wang

ScienceDBデータセット2026-06-18#EV・輸送Origin: CN経営インパクト: コスト削減対象セクター: automotive
DOI: 10.57760/sciencedb.j00125.00202
原典: https://doi.org/10.57760/sciencedb.j00125.00202

🤖 gxceed AI 要約

日本語

本データセットは、リチウムイオン電池用の低膨張シリコン-カーボン複合材料の物理化学的特性と電気化学的性能に関するデータを提供する。粒子径、BET、SEM、TEM、ラマン分光法、圧壊強度、ガス発生、粉末抵抗率、電極膨潤、コインセルおよびパウチセル試験を含む。

English

This dataset provides physicochemical and electrochemical data for low-expansion silicon-carbon composites for Li-ion batteries, including particle size, BET, SEM, TEM, Raman, crush strength, gas evolution, resistivity, electrode swelling, coin-cell and pouch-cell tests.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本のバッテリー産業にとって、シリコン-カーボン複合材料の最適化はEV性能向上に直結する。本データセットは材料開発のベンチマークとして価値がある。

In the global GX context

This dataset supports global efforts to develop higher-performance, lower-cost EV batteries, a key driver for transport decarbonization.

👥 読者別の含意

🔬研究者:Materials scientists working on battery anodes can use this dataset for benchmarking and model validation.

🏢実務担当者:Battery manufacturers can leverage the data to inform process optimization and quality control.

📄 Abstract(原文)

Dataset for "Micrometer-Scale Carbon Skeleton Optimization Enables Low-Expansion Silicon-Carbon Composites for High-Performance Lithium-Ion Batteries". This dataset comprises the relevant plotting data and raw data, which have been systematically organized and categorized according to their appearance in the main text or the Supporting Information. The testing contents encompass two major aspects: physicochemical characterization of the materials and electrochemical performance evaluation. Specifically, the physicochemical data include conventional characterization techniques such as particle size distribution, specific surface area (BET), scanning electron microscopy (SEM, commissioned to an external facility), transmission electron microscopy (TEM, commissioned to an external facility), and Raman spectroscopy, as well as less conventional evaluation methods developed in our company, including crush strength testing, gas evolution analysis, powder resistivity measurement, and electrode swelling test. On the electrochemical test, the evaluation covers coin-type cells (with coin-cell tests including specific capacity, initial Coulombic efficiency, and cycling stability tested in our company, while high-temperature and low-temperature coin-cell tests were commissioned to an external facility) and pouch cells, representing different levels of electrochemical testing.

🔗 Provenance — このレコードを発見したソース

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。