期刊
出版社
ELSEVIER
DOI: 10.1016/j.nima.2012.03.050
关键词
Data mining; Informatics; Materials design; Scintillator; Scintillation; Ionizing radiation
类别
资金
- NSF-ARI [CMMI 09-389018]
- Army Research Office [W911NF-10-0397]
- Wilkinson Professorship of Interdisciplinary Engineering
We introduce a new search strategy for the development of novel inorganic scintillators. For designing new scintillation host media having the improved properties, the potential candidate materials were chosen by using a chemical selection scheme based on a multi-dimensional similarity metric. For the quantitative assessment of the chosen materials, predictive models based on informatics were built by correlating a set of key parameters which reflect the features of the host materials with the performance of inorganic scintillators. The resulting design rules generated from the relationships serve as a guide to identify HtI(4) and TaI5 as two new host lattices with high light yield. The method we have outlined here serves as a new computational template based statistical learning method to search for new inorganic scintillators with targeted properties. (C) 2012 Elsevier B.V. All rights reserved.
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