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典型文献
Less is more:dimensionality reduction as a general strategy for more precise luminescence thermometry
文献摘要:
Thermal resolution(also referred to as temperature uncertainty)establishes the minimum discernible temperature change sensed by luminescent thermometers and is a key figure of merit to rank them.Much has been done to minimize its value via probe optimization and correction of readout artifacts,but little effort was put into a better exploitation of calibration datasets.In this context,this work aims at providing a new perspective on the definition of luminescence-based thermometric parameters using dimensionality reduction techniques that emerged in the last years.The application of linear(Principal Component Analysis)and non-linear(t-distributed Stochastic Neighbor Embedding)transformations to the calibration datasets obtained from rare-earth nanoparticles and semiconductor nanocrystals resulted in an improvement in thermal resolution compared to the more classical intensity-based and ratiometric approaches.This,in turn,enabled precise monitoring of temperature changes smaller than 0.1℃.The methods here presented allow choosing superior thermometric parameters compared to the more classical ones,pushing the performance of luminescent thermometers close to the experimentally achievable limits.
文献关键词:
作者姓名:
Erving Ximendes;Riccardo Marin;Luis Dias Carlos;Daniel Jaque
作者机构:
NanoBIG,Departamento de Fisica de Materiales,Facultad de Ciencias,Universidad Autónoma de Madrid,C/Francisco Tomás y Valiente 7,Madrid 28049,Spain;NanoBIG,Instituto Ramón y Cajal de Investigación Sanitaria(IRYCIS),Ctra.Colmenar km.9.100,Madrid 28034,Spain;Phantom-g,CICECO-Aveiro Institute of Materials,Department of Physics,University of Aveiro,Aveiro 3810-193,Portugal
引用格式:
[1]Erving Ximendes;Riccardo Marin;Luis Dias Carlos;Daniel Jaque-.Less is more:dimensionality reduction as a general strategy for more precise luminescence thermometry)[J].光:科学与应用(英文版),2022(09):2127-2139
A类:
thermometers
B类:
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AB值:
0.700015
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