A Machine Learning‐Enhanced Framework for the Accelerated Development of Spinel Oxide Electrocatalysts
Incheol Jeong,
Yoonsu Shim,
Seeun Oh
et al.
Abstract:The surging demand for sustainable energy has spurred intensive research into electrochemical conversion devices such as fuel cells, water splitting, and metal‐air batteries. The performance of oxygen electrocatalysts significantly impacts overall electrochemical efficiency. Recently, spinel oxides (AB2O4) have emerged as promising candidates; however, the scarcity of prior studies underscores the need for a thorough and comprehensive exploration. This study presents a computational framework that integrates m… Show more
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