Intelligent methods for assessing the efficiency of optical limiters based on carbon nanomaterials using the CORRELATO approach

Abstract

Optical limiting is a crucial nonlinear optical effect in which the transmission of light decreases as the input intensity increases, protecting sensitive optical components and human vision from high-intensity radiation. This paper examines experimental techniques employed to assess limiting performance, including Z-scan measurements and optical transfer function analysis. It introduces the CORRELATO method for identifying correlations between critical parameters of optical limiters and for predicting their effectiveness. The study is based on a set of 41 nanomaterials – comprising both pristine and phthalocyanine-functionalized single-walled and multi-walled carbon nanotubes dispersed in various media (water, PMMA, DMF, DMSO, THF). The results highlight the potential of this analytical approach for classifying nonlinear nanomaterials using derived analytical models and for the development of next-generation high-performance optical limiters.