Crystal reconstructed Cubic Nickel Oxide with Energetic Reactive Interfaces for Exceptional Electrochromic Smart Window

Abstract

Electrochromic smart windows can realize intelligent photothermal regulation by applying a low potential, which is of great significance for energy-saving buildings and low carbon emission reduction. However, the dense structure of conventional metal oxide electrochromic materials limits ion transport efficiency, resulting in poor electrochromic properties. Here, we propose a surface crystal reconstruction strategy for cubic NiO through phosphorylation (P-NiO) to build the energetic reactive interfaces and enhance the electrochromic performance. Theoretical simulations and experiments reveal that the introduction of PO4 tetrahedra tailored the crystal structure of cubic NiO, which endows it with a large number of contiguous intracrystal cavities and unsaturated P-O bonds on the surface. The energetic reactive interface optimizes the transport path of the OH− and gets rid of the dependence on K+ in the adsorption process, thus improving the reaction kinetics of NiO. The P-NiO film delivers a large optical modulation (90.3%, at 500 nm), high coloration efficiency (81.1 cm2 C−1, at 500 nm), and fast switching speed (6 s and 7.2 s for coloring and bleaching processes). Furthermore, a model of electrochromic smart windows was fabricated based on the P-NiO film, which can achieve a potential energy saving of 60.81 MJ m−2 and CO2 emission reduction of 11.98 kg m-2 in hot climate zones according to energy simulations. The in-depth insights gained into the fundamental mechanism of this surface crystal reconstruction strategy will facilitate the rational design of high−performance electrochromic and electrochemical materials.

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Article information

Article type
Communication
Submitted
30 Oct 2024
Accepted
13 Dec 2024
First published
17 Dec 2024

Mater. Horiz., 2025, Accepted Manuscript

Crystal reconstructed Cubic Nickel Oxide with Energetic Reactive Interfaces for Exceptional Electrochromic Smart Window

C. Hu, X. Guo, Y. Gao, P. Zhang, P. Lei, Y. Lv, X. Wang, R. Zhu and G. Cai, Mater. Horiz., 2025, Accepted Manuscript , DOI: 10.1039/D4MH01537A

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