The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Origin of fast ion diffusion in super-ionic conductors
Open accessAbstract
Super-ionic conductor materials have great potential to enable novel technologies in energy storage and conversion. However, it is not yet understood why only a few materials can deliver exceptionally higher ionic conductivity than typical solids or how one can design fast ion conductors following simple principles. Using ab initio modelling, here we show that fast diffusion in super-ionic conductors does not occur through isolated ion hopping as is typical in solids, but instead proceeds through concerted migrations of multiple ions with low energy barriers. Furthermore, we elucidate that the low energy barriers of the concerted ionic diffusion are a result of unique mobile ion configurations and strong mobile ion interactions in super-ionic conductors. Our results provide a general framework and universal strategy to design solid materials with fast ionic diffusion.
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Cites
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Issues and challenges facing rechargeable lithium batteries
Tarascon, J.-M., & Armand, M. (2001) · Nature · doi:10.1038/35104644 · Cited by 21,130
Electrical energy storage for the grid: A battery of choices
Dunn, B., Kamath, H., & Tarascon, J.-M. (2011) · Science · doi:10.1126/science.1212741 · Cited by 15,072
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials · doi:10.1063/1.4812323 · Cited by 13,094
Rationale for mixing exact exchange with density functional approximations
Perdew, J. P., Ernzerhof, M., & Burke, K. (1996) · The Journal of Chemical Physics · doi:10.1063/1.472933 · Cited by 6,629
A lithium superionic conductor
Kamaya, N., Homma, K., Yamakawa, Y., Hirayama, M., Kanno, R., Yonemura, M., Kamiyama, T., Kato, Y., Hama, S., Kawamoto, K., et al. (2011) · Nature Materials · doi:10.1038/nmat3066 · Cited by 4,978
A solid future for battery development
Janek, J., & Zeier, W. G. (2016) · Nature Energy · doi:10.1038/nenergy.2016.141 · Cited by 3,979
High-power all-solid-state batteries using sulfide superionic conductors
Kato, Y., Hori, S., Saito, T., Suzuki, K., Hirayama, M., Mitsui, A., Yonemura, M., Iba, H., & Kanno, R. (2016) · Nature Energy · doi:10.1038/nenergy.2016.30 · Cited by 3,517
Fast Lithium Ion Conduction in Garnet‐Type Li7La3Zr2O12
Murugan, R., Thangadurai, V., & Weppner, W. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200701144 · Cited by 3,250
Correlations in Space and Time and Born Approximation Scattering in Systems of Interacting Particles
Van Hove, L. (1954) · Physical Review · doi:10.1103/physrev.95.249 · Cited by 2,829
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Lee, B., Paek, E., Mitlin, D., & Lee, S. W. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00642 · Cited by 940
Takamoto, S., Shinagawa, C., Motoki, D., Nakago, K., Li, W., Kurata, I., Watanabe, T., Yayama, Y., Iriguchi, H., Asano, Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30687-9 · Cited by 446
Unsupervised discovery of solid-state lithium ion conductors
Zhang, Y., He, X., Chen, Z., Bai, Q., Nolan, A. M., Roberts, C. A., Banerjee, D., Matsunaga, T., Mo, Y., & Ling, C. (2019) · Nature Communications · doi:10.1038/s41467-019-13214-1 · Cited by 312
Self-citation
Metadata
- Authors
- He, X., Zhu, Y., & Mo, Y.
- Venue
- Nature Communications
- Published
- 2017-06-21
- Volume
- 8
- Issue
- 1
- Pages
- 15893-15893
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2660003879
- Cited by
- 989
- References
- 32
- FWCI
- 25.28
- Type
- journal article
- Language
- en
- Open access
- gold
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