AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors

Key Points

• 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.