Quantitative image-analysis framework for precise discrimination of cation mixing in high-nickel NCM cathodes

•Developed an automated HAADF-STEM image-analysis framework eliminating observer bias.•Established an angular-deviation and regional-classification methodology for quantitative structural assessment.•Quantitatively discriminated Li/Ni cation mixing regimes in high-nickel NCM cathodes.•Enabled surfac...

Celý popis

Podrobná bibliografie

Vydáno v:	Materials science & engineering. B, Solid-state materials for advanced technology Ročník 323; s. 118801
Hlavní autoři:	Han, Jong Hyeok, Heo, Boseong, Ju, Myeong Jin, Kim, Youngjin, Chang, Joon Ha, Jeon, Hee-Jae
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2026
Témata:	Automated crystallographic characterization High-nickel cathode materials Image processing algorithms Li/Ni mixing Lithium-ion batteries Lithium-ion batteries Automated crystallographic characterization Li/Ni mixing High-nickel cathode materials Image processing algorithms
ISSN:	0921-5107
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!