Convolutional neural networks driving thermally enhanced upconversion luminescence for temperature sensing: achieving high accuracy and robustness across a wide temperature range

Abstract

Thermally enhanced upconversion luminescence is achieved in GGG:Yb3+–Er3+–Cr3+ and a convolutional neural network is designed to decode temperature from emission spectra for accurate and reliable measurements over a wide temperature range.