Mesoscale simulations of diffusion and sedimentation in shape-anisotropic nanoparticle suspensions
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866909128605040640 |
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| author | Wani, Yashraj M. Kovakas, Penelope Grace Nikoubashman, Arash Howard, Michael P. |
| author_facet | Wani, Yashraj M. Kovakas, Penelope Grace Nikoubashman, Arash Howard, Michael P. |
| contents | We determine the long-time self-diffusion coefficient and sedimentation coefficient for suspensions of nanoparticles with anisotropic shapes (octahedra, cubes, tetrahedra, and spherocylinders) as a function of nanoparticle concentration using mesoscale simulations. We use a discrete particle model for the nanoparticles, and we account for solvent-mediated hydrodynamic interactions between nanoparticles using the multiparticle collision dynamics method. Our simulations are compared to theoretical predictions and experimental data from existing literature, demonstrating good agreement in the majority of cases. Further, we find that the self-diffusion coefficient of the regular polyhedral shapes can be estimated from that of a sphere whose diameter is average of their inscribed and circumscribed sphere diameters. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_03009 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mesoscale simulations of diffusion and sedimentation in shape-anisotropic nanoparticle suspensions Wani, Yashraj M. Kovakas, Penelope Grace Nikoubashman, Arash Howard, Michael P. Soft Condensed Matter We determine the long-time self-diffusion coefficient and sedimentation coefficient for suspensions of nanoparticles with anisotropic shapes (octahedra, cubes, tetrahedra, and spherocylinders) as a function of nanoparticle concentration using mesoscale simulations. We use a discrete particle model for the nanoparticles, and we account for solvent-mediated hydrodynamic interactions between nanoparticles using the multiparticle collision dynamics method. Our simulations are compared to theoretical predictions and experimental data from existing literature, demonstrating good agreement in the majority of cases. Further, we find that the self-diffusion coefficient of the regular polyhedral shapes can be estimated from that of a sphere whose diameter is average of their inscribed and circumscribed sphere diameters. |
| title | Mesoscale simulations of diffusion and sedimentation in shape-anisotropic nanoparticle suspensions |
| topic | Soft Condensed Matter |
| url | https://arxiv.org/abs/2403.03009 |