Computational Evaluation of Al-Decorated g-CN Nanostructures as High-Performance Hydrogen-Storage Media
Abstract
:1. Introduction
2. Materials and Methods
3. Results and Discussion
3.1. Structural Features of Al-Doped g-CN
3.2. Hydrogen-Storage Performance Using Al-Doped g-CN
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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System | Adsorption E | H−H Bond | Capacity |
---|---|---|---|
Al4C24N24 + 4H2 | −0.31 | 0.787 | 1.10 |
Al4C24N24 + 8H2 | −0.19 | 0.770 | 2.14 |
Al4C24N24 + 12H2 | −0.15 | 0.765 | 3.17 |
Al4C24N24 + 16H2 | −0.13 | 0.762 | 4.12 |
Al4C24N24 + 20H2 | −0.13 | 0.762 | 5.18 |
Al4C24N24 + 24H2 | −0.11 | 0.759 | 6.15 |
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Gao, P.; Chen, X.; Li, J.; Wang, Y.; Liao, Y.; Liao, S.; Zhu, G.; Tan, Y.; Zhai, F. Computational Evaluation of Al-Decorated g-CN Nanostructures as High-Performance Hydrogen-Storage Media. Nanomaterials 2022, 12, 2580. https://doi.org/10.3390/nano12152580
Gao P, Chen X, Li J, Wang Y, Liao Y, Liao S, Zhu G, Tan Y, Zhai F. Computational Evaluation of Al-Decorated g-CN Nanostructures as High-Performance Hydrogen-Storage Media. Nanomaterials. 2022; 12(15):2580. https://doi.org/10.3390/nano12152580
Chicago/Turabian StyleGao, Peng, Xihao Chen, Jiwen Li, Yue Wang, Ya Liao, Shichang Liao, Guangyu Zhu, Yuebin Tan, and Fuqiang Zhai. 2022. "Computational Evaluation of Al-Decorated g-CN Nanostructures as High-Performance Hydrogen-Storage Media" Nanomaterials 12, no. 15: 2580. https://doi.org/10.3390/nano12152580
APA StyleGao, P., Chen, X., Li, J., Wang, Y., Liao, Y., Liao, S., Zhu, G., Tan, Y., & Zhai, F. (2022). Computational Evaluation of Al-Decorated g-CN Nanostructures as High-Performance Hydrogen-Storage Media. Nanomaterials, 12(15), 2580. https://doi.org/10.3390/nano12152580