A numerical toy model of Langevin dynamics provides real-time visualization of colloidal microdroplet evaporation

Fuente: arXiv
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Autores principales: Derkachov, Gennadiy, Jakubczyk, Tomasz, Alikhanzadeh-Arani, Sima, Wojciechowski, Tomasz, Jakubczyk, Daniel
Formato: Preprint
Publicado: 2025
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author Derkachov, Gennadiy
Jakubczyk, Tomasz
Alikhanzadeh-Arani, Sima
Wojciechowski, Tomasz
Jakubczyk, Daniel
author_facet Derkachov, Gennadiy
Jakubczyk, Tomasz
Alikhanzadeh-Arani, Sima
Wojciechowski, Tomasz
Jakubczyk, Daniel
contents We have developed and tested a simplified but versatile numerical model of nanoparticles' aggregation using Langevin dynamics. The model is particularly capable of simulating aggregation in an evaporating (or condensing) microdroplet. It runs on a graphics processing unit (GPU), which makes it sufficiently fast for real-time conceptualization tasks. We have verified the results of modeling against the findings from two types of experiments we conducted in electrodynamic traps. Firstly, our model helped us to elucidate the phenomenon of scattering `revival', often observed during the evaporation of composite microdroplets. Further on, we were able to mimic our experiments, in which the microdroplets were dried up to form nanoparticle (NP) aggregates, and then soft-landed. Thus we could compare model predictions with SEM imaging. The model was tested for up to $2.5\times 10^5$ nanoparticles of several coexisting types. Several types of interactions can be accounted for: inter-particle: Lennard-Jones and Coulomb; external: dispersion medium viscosity, centrifugal force, gravity, surface tension, and interface movement. Brownian motion of nanoparticles can be freely controlled. The core program is accompanied by scripts extracting statistical NP aggregates properties in post-processing -- fractal dimension and radial distribution functions. The codes are made available in public repositories. Several diverse evolution scenarios are presented.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04456
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A numerical toy model of Langevin dynamics provides real-time visualization of colloidal microdroplet evaporation
Derkachov, Gennadiy
Jakubczyk, Tomasz
Alikhanzadeh-Arani, Sima
Wojciechowski, Tomasz
Jakubczyk, Daniel
Soft Condensed Matter
Atmospheric and Oceanic Physics
Computational Physics
We have developed and tested a simplified but versatile numerical model of nanoparticles' aggregation using Langevin dynamics. The model is particularly capable of simulating aggregation in an evaporating (or condensing) microdroplet. It runs on a graphics processing unit (GPU), which makes it sufficiently fast for real-time conceptualization tasks. We have verified the results of modeling against the findings from two types of experiments we conducted in electrodynamic traps. Firstly, our model helped us to elucidate the phenomenon of scattering `revival', often observed during the evaporation of composite microdroplets. Further on, we were able to mimic our experiments, in which the microdroplets were dried up to form nanoparticle (NP) aggregates, and then soft-landed. Thus we could compare model predictions with SEM imaging. The model was tested for up to $2.5\times 10^5$ nanoparticles of several coexisting types. Several types of interactions can be accounted for: inter-particle: Lennard-Jones and Coulomb; external: dispersion medium viscosity, centrifugal force, gravity, surface tension, and interface movement. Brownian motion of nanoparticles can be freely controlled. The core program is accompanied by scripts extracting statistical NP aggregates properties in post-processing -- fractal dimension and radial distribution functions. The codes are made available in public repositories. Several diverse evolution scenarios are presented.
title A numerical toy model of Langevin dynamics provides real-time visualization of colloidal microdroplet evaporation
topic Soft Condensed Matter
Atmospheric and Oceanic Physics
Computational Physics
url https://arxiv.org/abs/2501.04456