Rational design of binary halide scintillators via data mining

Autor:	Chang Sun Kong, Krishna Rajan
Rok vydání:	2012
Předmět:	Physics Nuclear and High Energy Physics Similarity (geometry) Rational design Binary number computer.software_genre Set (abstract data type) Metric (mathematics) Key (cryptography) Data mining Instrumentation Host (network) computer Selection (genetic algorithm)
Zdroj:	Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 680:145-154
ISSN:	0168-9002
DOI:	10.1016/j.nima.2012.03.050
Popis:	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 HfI 4 and TaI 5 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b03e615f8d5d9d47c882cc67af2ee8c2 https://doi.org/10.1016/j.nima.2012.03.050 Zobrazit plný text záznamu Full Text from ScienceDirect