Computational method for efficient screening of metal precursors for nanomaterial syntheses

Yuuichi Orimoto, Ayumi Toyota, Takeshi Furuya, Hiroyuki Nakamura, Masato Uehara, Kenichi Yamashita, Hideaki Maeda

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

A density functional theory (DFT) based method is proposed for efficient screening of metal precursors for nanomaterial syntheses. For this study, we examined the effectiveness of our DFT approach for predicting bulk properties of precursor metal complexes, which is a key of our method. The DFT calculations were applied for a series of copper(II) β-diketonate complexes to estimate values related to complex stabilities such as complex formation energies .Etotal complex, total energy changes for two-electron reduction .Etotal reduction, and so on. The value of .Etotal complex was compared to the stability constant β2 collected from the relevant literature; .Etotal reduction was compared with reduction potentials measured using cyclic voltammetry. Results obtained from these comparisons revealed that simple DFT calculations predicted the trend of the complex stabilities that were determined experimentally as a bulk property. Our method can predict precursor properties and can greatly contribute to efficient precursor selection for nanomaterial synthesis.

Original languageEnglish
Pages (from-to)3389-3397
Number of pages9
JournalIndustrial and Engineering Chemistry Research
Volume48
Issue number7
DOIs
Publication statusPublished - Apr 1 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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