The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Monodispersed MnO nanoparticles in graphene-an interconnected N-doped 3D carbon framework as a highly efficient gas cathode in Li–CO2 batteries
Abstract
Monodispersed MnO nanoparticles in a 3D conductive carbon framework are designed as an effective cathode for a highly efficient, powerful and stable Li–CO 2 battery.
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Citations
Cites
Senftle, T. P., & Carter, E. A. (2017) · Accounts of Chemical Research · doi:10.1021/acs.accounts.6b00479 · Cited by 184
Cited by
Defect engineering of two-dimensional materials for advanced energy conversion and storage
Liu, F., & Fan, Z. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00931e · Cited by 417
Graphene oxide: An emerging electromaterial for energy storage and conversion
Tian, Y., Yu, Z., Cao, L., Zhang, X. L., Sun, C., & Wang, D.-W. (2021) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2020.07.006 · Cited by 240
Metadata
- Authors
- Li, S., Liu, Y., Zhou, J., Hong, S., Dong, Y., Wang, J., Gao, X., Qi, P., Han, Y., & Wang, B.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 12
- Issue
- 3
- Pages
- 1046-1054
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2911758902
- Cited by
- 162
- References
- 1
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Monodispersed MnO nanoparticles in graphene-an interconnected N-doped 3D carbon framework as a highly efficient gas cathode in Li–CO2 batteries. https://app.cochat.ai/papers/10.1039/c8ee03283a
- The paper
- Li, S., Liu, Y., Zhou, J., Hong, S., Dong, Y., Wang, J., Gao, X., Qi, P., Han, Y., & Wang, B. (2019). Monodispersed MnO nanoparticles in graphene-an interconnected N-doped 3D carbon framework as a highly efficient gas cathode in Li–CO2 batteries. Energy & Environmental Science. https://doi.org/10.1039/c8ee03283a
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
