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Cited article:

Machine-learning-driven integrated probing of oxygen-vacancy distribution and ionomer morphology in an iridium oxide catalyst–ionomer nanocomposite electrode for water electrolyzers

Yerin Jeon, Sang-Hyeok Yang, Hyeon-Ah Ju, Kwanhong Park, Wooseon Choi, Daehee Yang, Hakjoo Lee, Dami Lim, Shin Jang, Jaekwang Lee, Jae-Hyeok Kim and Young-Min Kim
Journal of Materials Chemistry A (2026)
https://doi.org/10.1039/D5TA08480F