Towards an Improved Understanding of the Evolution of the Size Distribution of Ultrafine Nanoparticles Produced by a Rapidly Quenched Vapor Source

GUANNAN YANG, JUNYUN HE, JIN TONG, HENGWEI LUAN, PEILIN LIANG, ZHONGWEI HUANG, SHIWO TA, YU ZHANG*, CHENGQIANG CUI*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this study, we explore the evolution of the size distribution of Ag nanoparticles produced by a spark ablation vapor source. The as-prepared Ag nanoparticles exhibit a special bimodal lognormal size distribution, containing both ultrafine (~ 1.5 nm) and larger (3 to 15 nm) particles. Such a size distribution differs from previous investigations of nanoparticles generated by spark ablation, which had larger particles with a lognormal distribution. The 1.5 nm size of the ultrafine Ag nanoparticles in this study is close to the theoretical size of the critical nucleus predicted by classic nucleation theory. By considering the simultaneous precipitation and coagulation of the particles and different coalescence dynamics at different sizes, we established a quantitative model that describes the evolution of the special size distribution of the Ag nanoparticles. The model’s predictions accurately reproduce the as-measured nanoparticle size distribution. This study can provide a new experimental and theoretical basis for understanding the kinetics of the growth of ultrafine nanoparticles produced by a rapidly quenched vapor source. © The Minerals, Metals & Materials Society and ASM International 2024.
Original languageEnglish
Pages (from-to)1509-1515
JournalMetallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
Volume55
Issue number5
Online published15 Mar 2024
DOIs
Publication statusPublished - May 2024

Funding

We acknowledge the support of the Science and Technology Program of Guangdong Province (Grant No. 2022A0505050071), the Guangzhou Basic and Applied Basic Research Project (Grant No. 202201010322), the National Natural Science Foundation of China (Grant Nos. 62174039, U20A6004 and 62204063) and the Guangdong Basic and Applied Basic Research (Grant Nos. 2021A1515110656, 2022A1515010141).

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