The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Multiscale Understanding and Architecture Design of High Energy/Power Lithium‐Ion Battery Electrodes
Open accessAbstract
Among various commercially available energy storage devices, lithium‐ion batteries (LIBs) stand out as the most compact and rapidly growing technology. This multicomponent system operates on coupled dynamics to reversibly store and release electricity. With the hierarchical electrode architectures inside LIBs, versatile functionality can be realized by design, while considerable difficulties remain to be solved to fully exploit the capability of each constituent. With the rapid electrification of the transportation sector and an urgent need to overhaul electric grids in the context of renewable energy penetration, demands for concomitant high energy and high power batteries are continuously increasing. Although building an ideal battery requires effort from multiple scientific and engineering aspects, it is imperative to gain insight into multiscale transport behaviors arising in both spatial and temporal dimensions, and enable their harmonic integration inside the whole battery system. In this progress report, recent research efforts on characterizing and understanding transport kinetics in LIBs are reviewed covering a broad range of electrode materials and length scales. To demonstrate the crucial role of such information in revolutionary electrode design, examples of innovative high energy/power electrodes are provided with their unique hierarchical porous architectures highlighted. To conclude, perspectives on further approaches toward advanced thick electrode designs with fast kinetics and tailored properties are discussed.
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The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
Challenges for Rechargeable Li Batteries
Goodenough, J. B., & Kim, Y. (2010) · Chemistry of Materials · doi:10.1021/cm901452z · Cited by 10,943
Nano-sized transition-metal oxides as negative-electrode materials for lithium-ion batteries
Poizot, P., Laruelle, S., Grugeon, S., Dupont, L., & Tarascon, J.-M. (2000) · Nature · doi:10.1038/35035045 · Cited by 8,041
30 Years of Lithium‐Ion Batteries
Li, M., Lu, J., Chen, Z., & Amine, K. (2018) · Advanced Materials · doi:10.1002/adma.201800561 · Cited by 6,039
Graphene, related two-dimensional crystals, and hybrid systems for energy conversion and storage
Bonaccorso, F., Colombo, L., Yu, G., Stoller, M., Tozzini, V., Ferrari, A. C., Ruoff, R. S., & Pellegrini, V. (2015) · Science · doi:10.1126/science.1246501 · Cited by 3,454
Self-citationPathways for practical high-energy long-cycling lithium metal batteries
Liu, J., Bao, Z., Cui, Y., Dufek, E. J., Goodenough, J. B., Khalifah, P., Li, Q., Liaw, B. Y., Liu, P., Manthiram, A., et al. (2019) · Nature Energy · doi:10.1038/s41560-019-0338-x · Cited by 3,412
Hecht, D. S., Hu, L., & Irvin, G. (2011) · Advanced Materials · doi:10.1002/adma.201003188 · Cited by 2,229
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
Three-dimensional holey-graphene/niobia composite architectures for ultrahigh-rate energy storage
Sun, H., Mei, L., Liang, J., Zhao, Z., Lee, C., Fei, H., Ding, M., Lau, J., Li, M., Wang, C., et al. (2017) · Science · doi:10.1126/science.aam5852 · Cited by 1,461
Thickness-independent capacitance of vertically aligned liquid-crystalline MXenes
Xia, Y., Mathis, T. S., Zhao, M.-Q., Anasori, B., Dang, A., Zhou, Z., Cho, H., Gogotsi, Y., & Yang, S. (2018) · Nature · doi:10.1038/s41586-018-0109-z · Cited by 1,310
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Biomass‐Derived Carbon for High‐Performance Batteries: From Structure to Properties
Sun, Y., Shi, X., Yang, Y., Suo, G., Zhang, L., Lu, S., & Chen, Z. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202201584 · Cited by 253
A review on machine learning-guided design of energy materials
Kim, S., Xu, J., Shang, W., Xu, Z., Lee, E., & Luo, T. (2024) · Progress in Energy · doi:10.1088/2516-1083/ad7220 · Cited by 19
Metadata
- Authors
- Zhang, X., Ju, Z., Zhu, Y., Takeuchi, K. J., Takeuchi, E. S., Marschilok, A. C., & Yu, G.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2020-05-06
- Volume
- 11
- Issue
- 2
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W3022355091
- Cited by
- 299
- References
- 95
- FWCI
- 13.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, X., Ju, Z., Zhu, Y., Takeuchi, K. J., Takeuchi, E. S., Marschilok, A. C., & Yu, G. (2021). Multiscale Understanding and Architecture Design of High Energy/Power Lithium‐Ion Battery Electrodes. Advanced Energy Materials. https://doi.org/10.1002/aenm.202000808
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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