The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A High‐Efficiency CoSe Electrocatalyst with Hierarchical Porous Polyhedron Nanoarchitecture for Accelerating Polysulfides Conversion in Li–S Batteries
Abstract
Lithium–sulfur (Li–S) batteries are recognized as promising candidates for next‐generation electrochemical energy storage systems owing to their high energy density and cost‐effective raw materials. However, the sluggish multielectron sulfur redox reactions are the root cause of most of the issues for Li–S batteries. Herein, a high‐efficiency CoSe electrocatalyst with hierarchical porous nanopolyhedron architecture (CS@HPP) derived from a metal–organic framework is presented as the sulfur host for Li–S batteries. The CS@HPP with high crystal quality and abundant reaction active sites can catalytically accelerate capture/diffusion of polysulfides and precipitation/decomposition of Li 2 S. Thus, the CS@HPP sulfur cathode exhibits an excellent capacity of 1634.9 mAh g−1, high rate performance, and a long cycle life with a low capacity decay of 0.04% per cycle over 1200 cycles. CoSe nanopolyhedrons are further fabricated on a carbon cloth framework (CC@CS@HPP) to unfold the electrocatalytic activity by its high electrical conductivity and large surface area. A freestanding CC@CS@HPP sulfur cathode with sulfur loading of 8.1 mg cm−2 delivers a high areal capacity of 8.1 mAh cm−2 under a lean electrolyte. This work will enlighten the rational design of structure–catalysis engineering of transition‐metal‐based nanomaterials for diverse applications.
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Cites
Li-O2 and Li-S batteries with high energy storage
Bruce, P. G., Freunberger, S. A., Hardwick, L. J., & Tarascon, J.-M. (2012) · Nature Materials · doi:10.1038/nmat3191 · Cited by 9,479
A highly ordered nanostructured carbon–sulphur cathode for lithium–sulphur batteries
Ji, X., Lee, K. T., & Nazar, L. F. (2009) · Nature Materials · doi:10.1038/nmat2460 · Cited by 5,988
Rechargeable Lithium–Sulfur Batteries
Manthiram, A., Fu, Y., Chung, S.-H., Zu, C., & Su, Y.-S. (2014) · Chemical Reviews · doi:10.1021/cr500062v · Cited by 4,665
Formation of hollow nanocrystals through the nanoscale kirkendall \neffect
Yin, Y., Rioux, R. M., Erdonmez, C. K., Hughes, S. M., Somorjai, G. A., & Alivisatos, A. P. (2004) · eScholarship (California Digital Library) · Cited by 3,537
Advances in lithium–sulfur batteries based on multifunctional cathodes and electrolytes
Pang, Q., Liang, X., Kwok, C. Y., & Nazar, L. F. (2016) · Nature Energy · doi:10.1038/nenergy.2016.132 · Cited by 2,167
Du, Z., Chen, X., Hu, W., Chuang, C., Xie, S., Hu, A., Yan, W., Kong, X., Wu, X., Ji, H., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b12973 · Cited by 1,490
Tao, X., Wang, J., Liu, C., Wang, H., Yao, H., Zheng, G., Seh, Z. W., Cai, Q., Li, W., Zhou, G., et al. (2016) · Nature Communications · doi:10.1038/ncomms11203 · Cited by 1,391
Mechanism and Kinetics of Li2S Precipitation in Lithium–Sulfur Batteries
Fan, F. Y., Carter, W. C., & Chiang, Y. (2015) · Advanced Materials · doi:10.1002/adma.201501559 · Cited by 987
Liu, D., Zhang, C., Zhou, G., Lv, W., Ling, G., Zhi, L., & Yang, Q. (2018) · Advanced Science · doi:10.1002/advs.201700270 · Cited by 956
Lin, H., Yang, L., Jiang, X., Li, G., Zhang, T., Yao, Q., Zheng, G. W., & Lee, J. Y. (2017) · Energy & Environmental Science · doi:10.1039/c7ee01047h · Cited by 952
Metadata
- Authors
- Ye, Z., Jiang, Y., Li, L., Wu, F., & Chen, R.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-06-28
- Volume
- 32
- Issue
- 32
- Pages
- e2002168-e2002168
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3037881519
- Cited by
- 394
- References
- 36
- FWCI
- 21.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ye, Z., Jiang, Y., Li, L., Wu, F., & Chen, R. (2020). A High‐Efficiency CoSe Electrocatalyst with Hierarchical Porous Polyhedron Nanoarchitecture for Accelerating Polysulfides Conversion in Li–S Batteries. Advanced Materials. https://doi.org/10.1002/adma.202002168
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