Elucidating pore and surface features of soot nanoparticles using molecular dynamics simulations

Journal Article (2026)
Author(s)

Khaled Mosharraf Mukut (Marquette University)

Eirini Goudeli (University of Melbourne)

Georgios Kelesidis (TU Delft - Flight Performance and Propulsion)

Somesh P. Roy (Marquette University)

Research Group
Flight Performance and Propulsion
DOI related publication
https://doi.org/10.1016/j.fuel.2025.136692
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Publication Year
2026
Language
English
Research Group
Flight Performance and Propulsion
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
406
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Abstract

Understanding the surface and pore features of soot nanoparticles is important for predicting their behavior in combustion environments and atmospheric processes. Here, we present a novel computational framework combining reactive molecular dynamics simulations with detailed atomistic analysis to characterize the morphology of over 2000 incipient soot particles formed from acetylene pyrolysis at 1350–1800 K. The surface and pore features of these nanoparticles are explored directly using three-dimensional atomic surface mesh for the first time. The nanoparticles are found to have a highly irregular shape, with an average sphericity of 0.57 and a surface fractal dimension (DS) of approximately 2.22, in excellent agreement with experimental data. The particles exhibit significant internal porosity (Φ≈0.22) dominated by micropores (≤2 nm). Micropores contribute to a very high specific surface area of approximately 2652. Three distinct pore types – tunnels, pockets, and isolated cavities – are identified in the incipient soot primary particles. The internal pore network is found to have a fractal dimension (DVC) of approximately 2.15. Strong positive correlations between pore volume and surface area (R2≈0.70) are observed. The findings point to a complex and irregular external and internal structures of incipient soot nanoparticles and a complex pore network within them.

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