Mapping cation-eutaxy ternary with a phenomenological model.

Area of Science:

• Materials Science
• Solid-State Chemistry
• Computational Materials Science

Background:

• Predicting the stability of ternary compounds, especially cation-eutaxy ABX systems, is complex due to intricate atomic feature interactions.
• Existing methods often fail to unify these parameters, hindering the prediction of III–V network dimensionality and stability.

Purpose of the Study:

• To develop a predictive model for the stability and classification of cation-eutaxy structures in [A–III–V] chemical systems.
• To integrate intuitive atomic features like electronegativity, ionic size, and charge into a unified framework.

Main Methods:

• Developed a phenomenological model incorporating electronegativity, ionic size, and charge.
• Introduced stoichiometry-weighted descriptors to assess the covalent nature of III–V and A–V bonds.
• Validated the model using computational high-throughput screening and the Materials Project database.

Main Results:

• Successfully classified 35 known cation-eutaxy ABX compounds.
• Identified 9 novel, previously unreported cation-eutaxy candidates.
• Experimental synthesis of K2In2P3 and Na2In2As3 confirmed the model's predictive accuracy.

Conclusions:

• The proposed phenomenological model accurately predicts cation-eutaxy ternary stability.
• The framework facilitates the discovery of new layered materials by integrating fundamental atomic properties.
• Further model refinement holds promise for advancing materials discovery in complex chemical systems.