Progress in atomistic modelling of nanoparticle coalescence

Coalescence (or sintering) of two or more nanoparticles into larger nanoparticles or particle aggregates is one of the fundamental processes that differentiate nano-matter from bulk matter, and plays a vital role in determining shape, size, structure, and resultant properties vital for various applications. Computational methods, especially atomistic simulations, have been employed over the past decades to reveal the dynamics of nanoparticle coalescence at the atomic level. Integrated findings from various simulations enhance our understanding of nanoparticle interaction and merging mechanisms. Understanding these mechanisms can guide the design of nanoparticles with tailored properties for diverse applications from printed and flexible electronics to catalysis and pigmentations, and from drug delivery and energy storage to nanoparticle-based neuromorphic computation devices. This review aspires to distil our current knowledge and understanding of nanoparticle coalescence in a compact and visual way, so that it can be used as reference and starting point for future computational studies and as guidance for the experimental fabrication of nanoparticulated matter.

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Publication Details

Journal
Advances in Physics X
Published
2026-01-09
DOI
https://doi.org/10.1080/23746149.2025.2611995
Citations
1
Primary Topic
Quantum Dots Synthesis And Properties
Type
article
Field-Weighted Citation Impact
16.08
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article

Progress in atomistic modelling of nanoparticle coalescence

Panagiotis Grammatikopoulos
1 citations
Advances in Physics X
Quantum Dots Synthesis And Properties
16.08
article

Progress in atomistic modelling of nanoparticle coalescence

Panagiotis Grammatikopoulos
article en
1 citations

Abstract

Coalescence (or sintering) of two or more nanoparticles into larger nanoparticles or particle aggregates is one of the fundamental processes that differentiate nano-matter from bulk matter, and plays a vital role in determining shape, size, structure, and resultant properties vital for various applications. Computational methods, especially atomistic simulations, have been employed over the past decades to reveal the dynamics of nanoparticle coalescence at the atomic level. Integrated findings from various simulations enhance our understanding of nanoparticle interaction and merging mechanisms. Understanding these mechanisms can guide the design of nanoparticles with tailored properties for diverse applications from printed and flexible electronics to catalysis and pigmentations, and from drug delivery and energy storage to nanoparticle-based neuromorphic computation devices. This review aspires to distil our current knowledge and understanding of nanoparticle coalescence in a compact and visual way, so that it can be used as reference and starting point for future computational studies and as guidance for the experimental fabrication of nanoparticulated matter.

Advances in Physics XVol. 11(1)
University of Castilla-La Mancha (ES)
Openalex Percentile: Top 4%
Quantum Dots Synthesis And Properties
16.08
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Progress in atomistic modelling of nanoparticle coalescence — Panagiotis Grammatikopoulos · Advances in Physics X (2026) | TGRS Research Map | TGRS