热的
发光
离子
信号(编程语言)
集合(抽象数据类型)
Crystal(编程语言)
化学键
寄主(生物学)
晶体结构
材料科学
计算机科学
化学物理
计算物理学
物理
化学
热力学
光电子学
结晶学
量子力学
程序设计语言
生态学
生物
作者
Mochen Jia,Zhen Sun,Fang Lin,Bofei Hou,Xin Li,Mingxuan Zhang,Huayao Wang,Xu Yang,Zuoling Fu
标识
DOI:10.1021/acs.jpclett.9b02343
摘要
Predicting the thermometric performance of diverse materials will facilitate the selection and design of nanothermometers to suit complex environments and specific signal outputs while saving much time and expense. Herein we explore and unveil the thermal-coupled thermometric performance of Er3+/Yb3+ codoped in a set of host lattices via the chemical bond theory of complex crystals. The unknown B and ΔE values of the thermometry are accurately estimated by the chemical bond parameters, further deepening our cognition of the correlation between the luminescence properties of Er3+ ions and the microscopic crystal structure. This allows us to precisely forecast the thermal-coupled thermometric performance of Er3+ for varying host lattices in advance.
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