A novel SnC/graphene heterostructure as an efficient host material for Li- and Na-ion batteries: computational insight

Javed Rehman , Mehwish. K. Butt , Adel El-marghany , Zhipeng Li , Guochun Yang

Energy Materials ›› 2025, Vol. 5 ›› Issue (5) : 500046

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Energy Materials ›› 2025, Vol. 5 ›› Issue (5) :500046 DOI: 10.20517/energymater.2024.118
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A novel SnC/graphene heterostructure as an efficient host material for Li- and Na-ion batteries: computational insight

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Abstract

The rapid growth of technologies has influenced our daily lives in building efficient energy storage systems such as lithium-ion batteries (LIBs) for various electric automobiles and portable electronic devices. Graphite, the commercial anode material for LIBs, has several limitations including low lithium storage capacity (372 mAh g-1), low power rate capability, and sluggish charging for applications in grids and heavy electric vehicles. Herein, we propose a novel SnC/graphene heterostructure (SnC/G-H) as a potential anode material for LIBs and sodium-ion batteries, supported by first-principles calculations. The graphene layer in the SnC/G-H model provides high mechanical stability and electrical conductivity, enhancing device application and potentially solving the structural issues of the SnC monolayer. SnC/G-H serves as an excellent Li/Na host material, offering low average voltages (0.34-0.39 V), impressive Li/Na storage capacities of 870 mAh g-1 (exceeding those of pristine SnC and graphite), and minimal activation energy barriers of 0.043/0.079 eV, which promote efficient lithiation/delithiation and sodiation/desodiation processes. These enthralling findings indicate that the SnC/G-H could serve as an efficient host material for rechargeable LIBs and sodium-ion batteries.

Keywords

Heterostructure / graphene / charging/discharging / first-principles calculation / Li/Na-ion batteries

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Javed Rehman, Mehwish. K. Butt, Adel El-marghany, Zhipeng Li, Guochun Yang. A novel SnC/graphene heterostructure as an efficient host material for Li- and Na-ion batteries: computational insight. Energy Materials, 2025, 5(5): 500046 DOI:10.20517/energymater.2024.118

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