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AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors | Synapse
March 3, 2026
Open Access
AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors
JH
Ji Hoon Hong
Ajou University
CL
C. H. Lee
Hanyang University
HK
Hyeon Woo Kim
University of Seoul
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Puntos clave
Mobility and stability in oxide semiconductors directly impact their electronic properties, influencing device performance in applications.
The analysis employed AI-driven methods to quantitatively assess the trade-offs in various oxide semiconductor materials.
Findings indicate significant variations in mobility and stability, suggesting potential pathways for optimizing semiconductor design.
This work highlights the need for integrated approaches to enhance semiconductor capabilities in electronics and optoelectronics.
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Hong et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75ed0c6e9836116a29c0a
https://doi.org/https://doi.org/10.1186/s40580-026-00535-3