The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
MXenes/graphene heterostructures for Li battery applications: a first principles study
Open accessAbstract
Heterostructure made of MXenes and graphene enhances the Li storage and increases the stability of the system for its application in a promising Li-ion battery.
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Citations
Cites
Effect of the damping function in dispersion corrected density functional theory
Grimme, S., Ehrlich, S., & Goerigk, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21759 · Cited by 28,221
A fast and robust algorithm for Bader decomposition of charge density
Henkelman, G., Arnaldsson, A., & Jónsson, H. (2006) · Computational Materials Science · doi:10.1016/j.commatsci.2005.04.010 · Cited by 10,723
Cited by
Jiang, X., Kuklin, A. V., Baev, A., Ge, Y., Ågren, H., Zhang, H., & Prasad, P. N. (2020) · Physics Reports · doi:10.1016/j.physrep.2019.12.006 · Cited by 914
Metadata
- Authors
- Aierken, Y., Sevik, C., Gülseren, O., Peeters, F. M., & Çakır, D.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 6
- Issue
- 5
- Pages
- 2337-2345
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2782267566
- Cited by
- 245
- References
- 2
- FWCI
- 9.76
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: MXenes/graphene heterostructures for Li battery applications: a first principles study. https://app.cochat.ai/papers/10.1039/c7ta09001c
- The paper
- Aierken, Y., Sevik, C., Gülseren, O., Peeters, F. M., & Çakır, D. (2018). MXenes/graphene heterostructures for Li battery applications: a first principles study. Journal of Materials Chemistry A. https://doi.org/10.1039/c7ta09001c
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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.
