Affiliation:
1. College of Physics and Optoelectronic Engineering Faculty of Information Science and Engineering Ocean University of China Qingdao 266100 China
2. Engineering Research Center of Advanced Marine Physical Instruments and Equipment of Education Ministry of China Key Laboratory of Optics and Optoelectronics of Qingdao Ocean University of China Qingdao 266100 China
3. School of Chemical Engineering and Technology Sun Yat‐sen University Zhuhai 519082 China
Abstract
AbstractDoped CaZnOS materials show great potential for mechanoluminescence (ML) applications spanning the ultraviolet‐visible‐near infrared (UV–vis–NIR) range. However, conflicting reports regarding the generation and reproducibility of ML hinder the understanding and practical utilization of these materials. To address this issue, a comprehensive characterization strategy combining NIR laser‐assisted de‐trapping, UV irradiation‐induced trap‐filling, in situ mechanical stimulation, and continuous ML recording is proposed. Herein, the ML behaviors of four representative doped CaZnOS materials (Mn2+, Bi3+, Er3+, and Ce3+) are investigated using this approach. The results reveal that de‐trapped materials exhibit non‐trap‐controlled ML, wherein ML intensity gradually weakens under successive mechanical stimuli without self‐recovery. In contrast, trap‐filled materials demonstrate both trap‐controlled ML and non‐trap‐controlled ML, with the former predominantly contributing to the overall ML intensity. Notably, trap‐controlled ML shows only partial recovery after trap filling. The non‐trap‐controlled ML is attributed to plastic ML and destructive ML phenomena, while explaining trap‐controlled ML through the carrier de‐trapping model. These results not only clarify conflicting reports but also provide clear insights into the ML properties and mechanisms of CaZnOS‐based materials, facilitating advancements in practical applications. Furthermore, the developed characterization strategy is expected to serve as a valuable reference for establishing standardized protocols to evaluate ML performance.
Funder
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Subject
Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials
Cited by
11 articles.
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