Exploring the application of intelligent responsive nanomaterials for temperature- and light-controlled colour change in dynamic decorative lighting systems

This paper proposes a nanostructure control algorithm based on the photothermal conversion effect.First, a copper/iron-based metal-organic framework (MOF) material is prepared by solution impregnation and loaded with gold nanoparticles to enhance light absorption.The localised surface plasmon resonance (LSPR) effect is then exploited to improve photothermal conversion efficiency.Then, a temperature/light dual-sensing mechanism is established.The drift of the reflectance spectrum of thermochromic molecules and the change of the absorption coefficient of photochromic units are used to separate the coupled signals through a linear decoupling model to reduce cross-interference.Finally, a three-layer fully connected artificial neural network (ANN) is combined with the normalised temperature/light signals as input.The weights are optimised through the back-propagation algorithm, and the Lab colour space parameters are output to drive the light-emitting diode (LED) and the colour-changing element to meet the needs of high-end decorative lighting for dynamic environment adaptability.