Modeling Polyhedron Distortion for Mechanoluminescence in Mixed-Anion Compounds RE2O2S:Ln3+

被引:39
作者
Lin, Feiyan [1 ,2 ,3 ]
Li, Xinya [1 ,2 ,3 ]
Chen, Changjian [1 ,2 ,3 ]
Pan, Xin [1 ,2 ]
Peng, Dengfeng [4 ]
Luo, Hongde [5 ,6 ]
Jin, Libo [5 ,6 ]
Zhuang, Yixi [1 ,2 ,3 ]
Xie, Rong-Jun [1 ,2 ,3 ]
机构
[1] Xiamen Univ, Fujian Key Lab Surface & Interface Engn High Perf, State Key Lab Phys Chem Solid Surface, Xiamen 361005, Peoples R China
[2] Xiamen Univ, Coll Mat, Xiamen 361005, Peoples R China
[3] Baotou Res Inst Rare Earths, Baotou 014060, Peoples R China
[4] Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
[5] iRay Technol Co Ltd, Shanghai 201206, Peoples R China
[6] iRay Technol Taicang Ltd, Taicang 215434, Peoples R China
基金
中国国家自然科学基金;
关键词
RED PHOSPHOR; EMISSION; LIGHT; DEPENDENCE; EFFICIENT; GLASSES;
D O I
10.1021/acs.chemmater.2c01230
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Mechanoluminescent (ML) materials with the characteristics of photon emission under mechanical stimulation show broad application prospects in building structural health diagnosis, biomechanical engineering, and wearable devices. However, existing ML materials cannot fully meet the requirements of different stress sensing applications due to the limited understanding of the structure and mechano-to-photon conversion mechanism of ML materials. Herein, we report novel ML materials with excellent self-recoverable ML performance in the family of mixed-anion compounds RE2O2S:Ln(3+) (RE = Y, Lu, La, Gd). The ML intensity is linearly related to the applied force, and the ML wavelength is tunable over a broad range of 514-1550 nm. More importantly, we construct a polyhedron distortion model that describes the local symmetry breaking. This model well explains the origin of ML and piezoelectricity in the compounds with centrosymmetric crystal structures. The findings may deepen the understanding of the microstructure and the mechano-to-photon conversion mechanism in ML materials and are expected to provide important guidance for the development of high-performance ML materials.
引用
收藏
页码:5311 / 5319
页数:9
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