An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques (Adv. Theory Simul. 5/2025)

Abstract

High-purity silicon single crystals are grown using the Floating Zone (FZ) method, a key process in the semiconductor industry and crucial for renewable energy applications. In article 2400781, Lucas Vieira, Natasha Dropka, and co-workers apply data mining techniques to FZ simulations, uncovering complex relationships between growth parameters and process stability. The findings offer insights for optimizing the process through parameter engineering.