journal article·2025-08-12

Solubility-Difference-Driven Strategy for Constructing Core–Shell Structure Si@C Anodes: Ammonia-Assisted Carbon Shell Embedded with Copper Nanoparticles

Yuanjiang Dong, Dan An, Fei Li, Huacheng Jin, Baoqiang Li, Xiaohong Ma, Mingshui Yao, Zongxian Yang, Fangli Yuan

ACS Nano· Volume 19· Issue 31
Publisher page

Abstract

Compounding with carbon materials is an effective strategy to mitigate the intrinsic challenges of silicon anodes, particularly their severe volume variation and poor electrical conductivity, thereby demonstrating significant potential for commercial lithium-ion battery applications. In this study, a solubility-difference-driven approach is proposed for constructing core–shell structured Si@C anodes. Utilizing the distinct solubility difference of poly(vinyl alcohol) and basic copper carbonate in ammonia–water and ethanol, a uniform carbon shell embedded with copper nanoparticles is successfully formed on the silicon surface (Si@C-3). The optimized Si@C-3 anode exhibits improved electrochemical performance, delivering a high reversible capacity of 1346.1 mAh g –1 at 0.2 A g –1 after 150 cycles. Moreover, the material also exhibits cyclic stability at a higher current density of 2 A g –1, retaining a capacity of 559.1 mAh g –1 after 300 cycles. Notably, even under high-rate conditions of 6 A g –1, the anode maintains a capacity of 465.8 mAh g –1 . These improved electrochemical performances are attributed to the stable electrode structure enabled by the well-coated carbon shell and enhanced electrode kinetic processes facilitated by the incorporated copper nanoparticles. This solubility-difference-driven strategy provides a feasible and scalable pathway for developing high-performance Si/C composite anodes for advanced lithium-ion batteries.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advancements in Battery Materials · Supercapacitor Materials and Fabrication · Advanced Battery Materials and Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Mesoscience and Engineering

Institute of Process Engineering, Chinese Academy of Sciences

School of Chemical Engineering

University of Chinese Academy of Sciences

College of Chemistry and Molecular Sciences

Henan University

College of Materials Science and Opto-Electronics Technology

Funding

China Postdoctoral Science Foundation · National Natural Science Foundation of China · Henan University · State Key Laboratory of Mesoscience and Engineering · Henan Science and Technology Development Program

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