The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Chemo-mechanical expansion of lithium electrode materials – on the route to mechanically optimized all-solid-state batteries
Abstract
The volume effects of electrode materials can cause local stress development, contact loss and particle cracking in the rigid environment of a solid-state battery.
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Citations
Cites
Ageing mechanisms in lithium-ion batteries
Vetter, J., Novák, P., Wagner, M. R., Veit, C., Möller, K.-C., Besenhard, J. O., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., & Hammouche, A. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.01.006 · Cited by 3,987
A solid future for battery development
Janek, J., & Zeier, W. G. (2016) · Nature Energy · doi:10.1038/nenergy.2016.141 · Cited by 3,979
Self-citationStress generation and fracture in lithium insertion materials
Christensen, J., & Newman, J. (2006) · Journal of Solid State Electrochemistry · doi:10.1007/s10008-006-0095-1 · Cited by 727
State of health and charge measurements in lithium-ion batteries using mechanical stress
Cannarella, J., & Arnold, C. B. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.003 · Cited by 278
The role of mechanically induced separator creep in lithium-ion battery capacity fade
Peabody, C., & Arnold, C. B. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.05.023 · Cited by 237
Cited by
Energy storage: The future enabled by nanomaterials
Pomerantseva, E., Bonaccorso, F., Feng, X., Cui, Y., & Gogotsi, Y. (2019) · Science · doi:10.1126/science.aan8285 · Cited by 1,927
Li, J., Fleetwood, J., Hawley, W. B., & Kays, W. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00565 · Cited by 895
Recent progress on solid-state hybrid electrolytes for solid-state lithium batteries
Liang, J., Luo, J., Sun, Q., Yang, X., Li, R., & Sun, X. (2019) · Energy Storage Materials · doi:10.1016/j.ensm.2019.06.021 · Cited by 365
Stabilizing the Interface of NASICON Solid Electrolyte against Li Metal with Atomic Layer Deposition
Liu, Y., Sun, Q., Zhao, Y., Wang, B., Kaghazchi, P., Adair, K. R., Li, R., Zhang, C., Liu, J., Kuo, L.-Y., et al. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b06366 · Cited by 312
Battery Safety: Machine Learning-Based Prognostics
Zhao, J., Feng, X., Pang, Q., Fowler, M., Lian, Y., Ouyang, M., & Burke, A. F. (2024) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2023.101142 · Cited by 216
Metadata
- Authors
- Koerver, R., Zhang, W., de Biasi, L., Schweidler, S., Kondrakov, A. O., Kolling, S., Brezesinski, T., Hartmann, P., Zeier, W. G., & Janek, J.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 11
- Issue
- 8
- Pages
- 2142-2158
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2806888145
- Cited by
- 872
- References
- 5
- FWCI
- 23.71
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
