Establishing experimental parameters for the development and optimization of a predictive mathematical model of cadmium sulfide oil paints photo-oxidation | Synapse
March 18, 2026Open Access
Establishing experimental parameters for the development and optimization of a predictive mathematical model of cadmium sulfide oil paints photo-oxidation
Key Points
The research aims to develop and optimize a mathematical model to predict the photo-oxidation of cadmium sulfide oil paints.
Establishment of experimental parameters for testing cadmium sulfide oil paints.
Application of predictive mathematical modeling techniques.
Conducting experiments to observe photo-oxidation effects on paints.
Identification of key factors influencing photo-oxidation in cadmium sulfide oil paints.
Improvement in the accuracy of predictive models based on experimental data.
Abstract
Abstract for the final conference of CHANGES Spoke 5: Sustainable Diagnostics and Cultural Heritage Achievements and Perspectives of CHANGES SPOKE 5, Catania, 28-30 October 2025