Article: Exploring the application of intelligent responsive nanomaterials for temperature- and light-controlled colour change in dynamic decorative lighting systems Journal: International Journal of Materials and Product Technology (IJMPT) 2026 Vol.70 No.5 pp.77 - 95 Abstract: 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. Inderscience Publishers - linking academia, business and industry through research

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

Authors: Nazhen Hu; Zhijun Zhong

Addresses: School of Architecture and Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510260, Guangdong, China ' City School, Guangzhou Academy of Fine Arts, Guangzhou 510260, Guangdong, China

Abstract: 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.

Keywords: intelligent responsive nanomaterials; dynamic decorative lighting system; temperature- and light-controlled colour change; photothermal conversion effect; artificial neural network; ANN.

DOI: 10.1504/IJMPT.2026.153450

International Journal of Materials and Product Technology, 2026 Vol.70 No.5, pp.77 - 95

Received: 30 Aug 2025
Accepted: 06 Jan 2026
Published online: 08 May 2026 *

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

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