Syntheses and characterizations of aluminophosphate molecular sieves AFI guided by missing value estimation on database of aluminophosphate syntheses

Na Gao, Jiyang Li*, Jinsong Li*, Jun Kong, Jihong Yu, Ruren Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Several experiments have been performed based on the results of four missing value estimation methods on the database of AlPO syntheses. The target products, aluminophosphate molecular sieves with AFI topology, have been prepared by using triethylamine (TEA), N,N-dimethylbenzylamine (BDMA) and N-(2-aminoethyl)-piperazine (AEP) as the structure-directing agents, and their structures have been characterized by PXRD, SEM, TG, CHN, ICP and NMR. The experimental results show that BP impute method is the most effective approach for estimation of missing data of microporous aluminophosphates. This work further indicates that data mining provides a useful guidance for the rational synthesis of inorganic microporous materials.

Original languageEnglish
Pages (from-to)14-19
Number of pages6
JournalMicroporous and Mesoporous Materials
Volume174
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • AFI
  • Aluminophosphate
  • Database
  • Missing value estimation
  • Synthesis

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