Tuning Diffusion Preferences in Silicon-Based Anodes for Enhanced Rapid and Homogeneous Lithiation

The inherently sluggish lithiation kinetics of silicon (Si), coupled with its severe volume expansion, causes lithiation retardation and thus exacerbates the failure of Si-based anodes. Here, a Li<sup>+</sup>-diffusion-preference tuning strategy for homogeneous lithiation of Si has been proposed to address these issues and successfully validated through both simulation and experiments using commercial photovoltaic silicon waste (Si<sub>pv</sub>). In detail, Li<sup>+</sup> preferentially diffuses along grain boundaries (GBs) and then into grains, enabling rapid and homogeneous lithiation throughout the Si particles rather than the conventional outside-to-inside lithiation process that suffers from lithiation retardation. Furthermore, the high-concentration GBs impart isotropic lithiation behavior and induce a fine-grain strengthening effect, enhancing the structural stability of Si<sub>pv</sub>. The anode prepared by combining Si<sub>pv</sub> with graphite (Si<sub>pv</sub>/g) thus demonstrates stable cycling with a capacity retention of 93.8% after 1000 cycles. Even at -20 °C, Si<sub>pv</sub>/g delivers a 136.2% increase in specific capacity compared to that of commercial Si-based anodes. This work proposes a constructive strategy to essentially improve the electrochemical performance of Si-based anodes.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-08-18
DOI
https://doi.org/10.1021/acsnano.5c11012
Citations
1
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tuning Diffusion Preferences in Silicon-Based Anodes for Enhanced Rapid and Homogeneous Lithiation

Renlu Yuan, Jiapeng Zhang, Xiaohong Chen, Zhiwen Chen et al.
1 citations
ACS Nano
Advancements in Battery Materials
0.73
article

Tuning Diffusion Preferences in Silicon-Based Anodes for Enhanced Rapid and Homogeneous Lithiation

Renlu Yuan, Jiapeng Zhang, Xiaohong Chen, Zhiwen Chen, Chandra Veer Singh, Jiangchuan Li, Xue Yao, Huaihe Song, Ang Li, Xiaotian Li, Donghai Zhang, Ziteng Song
article en
1 citations

Abstract

The inherently sluggish lithiation kinetics of silicon (Si), coupled with its severe volume expansion, causes lithiation retardation and thus exacerbates the failure of Si-based anodes. Here, a Li<sup>+</sup>-diffusion-preference tuning strategy for homogeneous lithiation of Si has been proposed to address these issues and successfully validated through both simulation and experiments using commercial photovoltaic silicon waste (Si<sub>pv</sub>). In detail, Li<sup>+</sup> preferentially diffuses along grain boundaries (GBs) and then into grains, enabling rapid and homogeneous lithiation throughout the Si particles rather than the conventional outside-to-inside lithiation process that suffers from lithiation retardation. Furthermore, the high-concentration GBs impart isotropic lithiation behavior and induce a fine-grain strengthening effect, enhancing the structural stability of Si<sub>pv</sub>. The anode prepared by combining Si<sub>pv</sub> with graphite (Si<sub>pv</sub>/g) thus demonstrates stable cycling with a capacity retention of 93.8% after 1000 cycles. Even at -20 °C, Si<sub>pv</sub>/g delivers a 136.2% increase in specific capacity compared to that of commercial Si-based anodes. This work proposes a constructive strategy to essentially improve the electrochemical performance of Si-based anodes.

ACS NanoVol. 19(34)
University of Toronto (CA), Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 25%
Advancements in Battery Materials
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.