  While the ongoing search to discover new high-entropy systems is slowly
expanding beyond metals, a rational and effective method for predicting "in
silico" the solid solution forming ability of multi-component systems remains
yet to be developed. In this article, we propose a novel high-throughput
approach, called "LTVC", for estimating the transition temperature of a solid
solution: ab-initio energies are incorporated into a mean field statistical
mechanical model where an order parameter follows the evolution of disorder.
The LTVC method is corroborated by Monte Carlo simulations and the results from
the current most reliable data for binary, ternary, quaternary and quinary
systems (96.6%; 90.7%; 100% and 100%, of correct solid solution predictions,
respectively). By scanning through the many thousands of systems available in
the AFLOW consortium repository, it is possible to predict a plethora of
previously unknown potential quaternary and quinary solid solutions for future
experimental validation.
