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

An interpretable hierarchical machine learning framework is proposed to efficiently screen and analyse the absolute pressure sensitivity of lanthanide- and transition-metal-doped phosphors.