Approaching lithium-ion-level performance in sodium-ion batteries through rational reaction-zone design (2026)
- Authors:
- USP affiliated authors: DIAS, LUIS GUSTAVO - FFCLRP ; SILVA, JUAREZ LOPES FERREIRA DA - IQSC ; BARATI, SARA - IQSC
- Unidades: FFCLRP; IQSC
- DOI: 10.1016/j.est.2026.120776
- Subjects: ELETROQUÍMICA; BATERIAS ELÉTRICAS; LÍTIO; SÓDIO
- Keywords: Electrochemical battery modeling; Doyle–Fuller–Newman (DFN) model; Sodium-ion Batteries (SIBs; Lithium-ion Batteries (LIBs); Sensitivity analysis; Multi-objective optimization; Reaction zone; Energy density
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Energy Storage
- ISSN: 2352-1538
- Volume/Número/Paginação/Ano: v. 153, part A, art. 120776 (p. 1-26), 1 April 2026
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
BARATI, Sara e DIAS, Luis Gustavo e SILVA, Juarez Lopes Ferreira da. Approaching lithium-ion-level performance in sodium-ion batteries through rational reaction-zone design. Journal of Energy Storage, v. 153, p. art. 120776 ( 1-26), 2026Tradução . . Disponível em: https://doi.org/10.1016/j.est.2026.120776. Acesso em: 02 abr. 2026. -
APA
Barati, S., Dias, L. G., & Silva, J. L. F. da. (2026). Approaching lithium-ion-level performance in sodium-ion batteries through rational reaction-zone design. Journal of Energy Storage, 153, art. 120776 ( 1-26). doi:10.1016/j.est.2026.120776 -
NLM
Barati S, Dias LG, Silva JLF da. Approaching lithium-ion-level performance in sodium-ion batteries through rational reaction-zone design [Internet]. Journal of Energy Storage. 2026 ; 153 art. 120776 ( 1-26).[citado 2026 abr. 02 ] Available from: https://doi.org/10.1016/j.est.2026.120776 -
Vancouver
Barati S, Dias LG, Silva JLF da. Approaching lithium-ion-level performance in sodium-ion batteries through rational reaction-zone design [Internet]. Journal of Energy Storage. 2026 ; 153 art. 120776 ( 1-26).[citado 2026 abr. 02 ] Available from: https://doi.org/10.1016/j.est.2026.120776 - Pairwise neural networks for ranking molecular structures based on properties
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