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Novel Preparation of N‐Doped SnO2 Nanoparticles via Laser‐Assisted Pyrolysis: Demonstration of Exceptional Lithium Storage Properties
Open accessAbstract
Laser pyrolyzed SnO2 nanoparticles with an option of nitrogen (N) doping are prepared using a cost-effective method. The electrochemical performance of N-doped samples is tested for the first time in Li-ion batteries where the sample with 3% of N-dopant exhibits optimum performance with a capacity of 522 mAh gactive material −1 that can be obtained at 10 A g−1 (6.7C).
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Cited by
High‐Energy Lithium‐Ion Batteries: Recent Progress and a Promising Future in Applications
Xu, J., Cai, X., Cai, S., Shao, Y., Hu, C., Lu, S., & Ding, S. (2023) · ENERGY & ENVIRONMENTAL MATERIALS · doi:10.1002/eem2.12450 · Cited by 1,201
Li, L., Zhang, J., Wang, Y., Zaman, F. U., Zhang, Y., Hou, L., & Yuan, C. (2021) · InfoMat · doi:10.1002/inf2.12218 · Cited by 92
Metadata
- Authors
- Wang, L. P., Leconte, Y., Feng, Z., Wei, C., Zhao, Y., Ma, Q., Xu, W., Bourrioux, S., Azais, P., Srinivasan, M., & Xu, Z. J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2016-12-05
- Volume
- 29
- Issue
- 6
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2560435805
- Cited by
- 165
- References
- 0
- FWCI
- 11.13
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Novel Preparation of N‐Doped SnO2 Nanoparticles via Laser‐Assisted Pyrolysis: Demonstration of Exceptional Lithium Storage Properties. https://app.cochat.ai/papers/10.1002/adma.201603286
- The paper
- Wang, L. P., Leconte, Y., Feng, Z., Wei, C., Zhao, Y., Ma, Q., Xu, W., Bourrioux, S., Azais, P., Srinivasan, M., & Xu, Z. J. (2017). Novel Preparation of N‐Doped SnO2 Nanoparticles via Laser‐Assisted Pyrolysis: Demonstration of Exceptional Lithium Storage Properties. Advanced Materials. https://doi.org/10.1002/adma.201603286
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
