Тип публикации: статья из журнала
Год издания: 2024
Идентификатор DOI: 10.1109/access.2024.3387024
Аннотация: The study delves into the temporal dynamics of luminescence in colloidal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Ag</i> 2 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> quantum dots, utilizing time series forecasting techniques. Through an analysis of intensity measurements taken at different time intervals, it uncovers temporal trends and utilizes predictive models to anticipate future behaviour of luminescence spectra. The outcomes contribute to a more profound understanding of optimizing experimental conditions and foreseeing the evolution of these nanomaterials over time. Among the tested models, the most robust and effective approaches for predicting the decay of integral intensity within the first hour include polynomial features with regressors, particularly ElasticNetCV, Ridge, and Lasso, with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i> 2 scores of 0.74, 0.82, and 0.80, respectively. However, upon comparison with the results of additional experiment conducted over a duration of two hours, the Ridge model demonstrated the best performance in predicting the decay of integral intensity.
Журнал: IEEE Access
Выпуск журнала: Т. 12
Номера страниц: 53320-53334
ISSN журнала: 21693536
Издатель: Institute of Electrical and Electronics Engineers Inc.