Machine learning-guided screening of phase-stable high-entropy Na cathodes to enable EVs and low-cost charging storage systems

Journal of Materials Chemistry A 2026

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Authors: Ahhyun Jeong, Seungpyo Kang, Taeseo Ko, JunHo Song, Yerim Jung, Woojin Shin, Jiwon Sun, Kyoungmin Min
DOI: 10.1039/d6ta00306k
Cited by: 3
References: 112

Abstract

We propose a high-throughput computational screening framework that integrates high-entropy doping strategies with ML to enhance phase stability in O3-type Na layered oxide cathodes.

Fields of Study & Subjects

Advancements in Battery Materials Semiconductor materials and devices Ammonia Synthesis and Nitrogen Reduction

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
26
Pages
16693–16712
Publication date
1 January 2026
Language
EN