Lattice constant
is one of the paramount parameters that mark the
quality of thin film fabrication. Numerous research efforts have been
made to calculate and measure lattice constant, including experimental
and empirical approaches. Not withstanding these efforts, a reliable
and simple-to-use model is still needed to predict accurately this
vital parameter. In this study, gene expression programming (GEP)
approach was implemented to establish trustworthy model for prediction
of the lattice constant of A2XY6 (A = K, Cs,
Rb, TI; X = tetravalent cation; and Y = F, Cl, Br, I) cubic crystals
based on a comprehensive experimental database. The obtained results
showed that the proposed GEP correlation provides excellent prediction
performance with an overall average absolute relative deviation (AARD%)
of 0.3596% and a coefficient of determination (R
2) of 0.9965. Moreover, the comparison of the performance between
the newly proposed correlation and the best pre-existing paradigms
demonstrated that the established GEP correlation is more robust,
reliable, and efficient than the prior models for prediction of lattice
constant of A2XY6 cubic crystals.