 The study examined the relationship between the chemical composition of polyionic sodium conducting glasses and their ionic conductivity. The researchers used a technique called strong linear component analysis, SLCA, which involves optimizing the linear regression between the ionic conductivity and the champion candidates from all possible combinations of elements. This was followed by family tree and matrix rotation analysis, which filtered out the essential elemental combinations. From these, the researchers identified the essential genes, which revealed the intrinsic relationships among the variables. The researchers then compared this information with the structural interpretation of the glasses obtained from spectroscopy. This article was authored by Jiwen Pan, Jan Delloth, and Lothar Wondreczek.