Statistical models assisted solvothermal synthesis of silver nanowires with controllable morphology

Abstract

Silver nanowires (AgNWs) are conductive materials used in various applications such as solar panels and electronic skin. The morphology of AgNWs, including length and diameter, significantly affects conductivity. Despite various synthesis methods, a comprehensive understanding of how synthesis factors affect morphology is still lacking. This study focuses on solvothermal synthesis and investigates the influence of different nucleants on morphology. Through statistical analyses, including multivariate control charts and analysis of variance (ANOVA), this work demonstrates the joint effects of nucleants on AgNWs synthesis, thus setting the basis for morphology control.