| Issue |
MATEC Web Conf.
Volume 420, 2026
International Conference on Material Physics, Chemistry and New Energy (MPCNE 2026)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 9 | |
| Section | Advanced Battery Technologies and Energy Storage Systems | |
| DOI | https://doi.org/10.1051/matecconf/202642001010 | |
| Published online | 08 May 2026 | |
Application of Nano Silicon-Carbon Composite Materials in Anode Materials for Lithium-Ion Batteries
School of Chemistry and Molecular Engineer, East China University of Science and Technology, 130 Meilong Road, Xuhui District, Shanghai, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
With the growing global demand for high-energy-density energy storage technologies, silicon (Si) is gradually replacing graphite anodes to become one of the most competitive materials in the lithium-ion battery (LIB) field. The theoretical capacity of silicon is nearly ten times that of graphite. However, silicon's volume expansion and low intrinsic conductivity become its Achilles' heel. This paper reviews strategies for silicon-carbon nanocomposites aimed at solving these problems. The work focuses on analyzing three popular architectures: amorphous carbon encapsulation, reduced graphene oxide (rGO) scaffolding, and carbon nanotube (CNT) reinforcement. The findings show that amorphous carbon creates a shell that buffers volume changes, but it may lead to cracking under stress. rGO modification improves density and conductivity, and smaller rGO sheets are more effective in terms of ion transport than larger ones. CNTs provide strong conductive networks to prevent electrode damage but cause “dead lithium” accumulation and inefficient silicon penetration. So, only by focusing on hybrid designs and advanced manufacturing techniques, it is possible to make silicon anodes more perfect and meet the demands of the global market.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

