Interpretable machine learning screening and analysis of pressure sensitivity and high-pressure emission line shifts in lanthanide and transition metal doped phosphors

Key Points

• The aim is to develop pressure-responsive luminescent materials with high sensitivity and stability.
• Utilized machine learning algorithms for screening phosphors.
• Analyzed high-pressure emission line shifts in doped materials.
• Evaluated sensitivity and stability of luminescent responses.
• Identified transition metal and lanthanide doped phosphors with enhanced pressure sensitivity.
• Demonstrated significant shifts in emission lines under varying pressure conditions.
• Achieved a wide dynamic range in luminescent response, indicating robust material performance.