There are many approaches that can be used to accelerate the discovery of new materials. Machine learning (ML) is one method that is becoming increasingly popular in this field . However, it requires a large data set, which does not exist in this case. Another method is the genetic algorithm (GA) which borrows its ideas from Darwin's "survival of the fittest" concept . The GA is an iterative method, where each generation a new set of offsprings are created from the previous generation surviving parents, and those who survive the fit test go on to be the parents in the following generation. The algorithm also includes the possibility of a random mutation, as happens in nature, which can result in an increase or decrease in the survival rate.