| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 17, 2026
|
|
|---|---|---|
| Article Number | 12 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/smdo/2025035 | |
| Published online | 11 June 2026 | |
Research Article
Determining the equilibrium distribution state of fluidic molecule model
School of Mechanical and Automotive Engineering, Ha Noi University of Industry, No 298, Cau Dien Street, Bac Tu Liem District, Hanoi City, Vietnam
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Received:
2
December
2024
Accepted:
7
November
2025
Abstract
This study employs the C++ programming framework and Tecplot software to construct the initial fluidic molecular structure model. A molecular dynamics simulation method is utilized to modify the molecular structure during a prerun process, aiming to establish the natural equilibrium state of molecules that aligns with the Maxwell-Boltzmann distribution plot. The 3D model representing the natural equilibrium fluidic state, developed after the pre-run process, is used to explore fluidic nanojet ejections under various technological parameters. The outcomes of the fluidic nanojets obtained through the simulation process reveal disparities under different research scenarios such as pressing forces, system temperatures, and nozzle diameters. These acquired fluidic nanojets further validate the credibility of the established natural equilibrium state after the 10,000 femtosecond (fs) pre-run process, thus serving as a reliable foundation for subsequent investigations based on this fundamental equilibrium premise. Furthermore, this study provides significant insights into the dynamic ejection of fluidic nanojets through molecular dynamics simulations. Additionally, the generated data are invaluable for experimental endeavors and manufacturing processes incorporating this technology.
Key words: Molecular dynamics simulation / fluidic molecule structure model / natural molecule statement / fluidic nanojet ejection
© V.Q. Nguyen et al., Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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