MetaParticles: Computationally engineered nanomaterials with tunable and responsive properties
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arXiv
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913458695438336 |
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| author | Paesani, Massimiliano Ilie, Ioana M. |
| author_facet | Paesani, Massimiliano Ilie, Ioana M. |
| contents | In simulations, particles are traditionally treated as rigid platforms with variable sizes, shapes and interaction parameters. While this representation is applicable for rigid core platforms, particles consisting of soft platforms (e.g. micelles, polymers, elastomers, lipids) inevitably deform upon application of external stress. We introduce a generic model for flexible particles which we call MetaParticles (MP). These particles have tunable properties, can respond to applied tension and can deform. A metaparticle is represented as a collection of Lennard-Jones beads interconnected by spring-like potentials. We model a series of metaparticles of variable sizes and symmetries, which we subject to external stress followed by relaxation upon stress release. The positions and the orientations of the individual beads are propagated by Brownian dynamics. The simulations show that the mechanical properties of the metaparticles vary with size, bead arrangement and area of applied stress, and share an elastomer-like response to applied stress. Furthermore, metaparticles deform following different mechanisms, i.e., small MPs change shape in one step, while larger ones follow a multi-step deformation pathway, with internal rearrangements of the beads. This model is the first step towards the development and understanding of particles with adaptable properties with biomedical applications and in the design of bioinspired metamaterials. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_02564 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MetaParticles: Computationally engineered nanomaterials with tunable and responsive properties Paesani, Massimiliano Ilie, Ioana M. Soft Condensed Matter In simulations, particles are traditionally treated as rigid platforms with variable sizes, shapes and interaction parameters. While this representation is applicable for rigid core platforms, particles consisting of soft platforms (e.g. micelles, polymers, elastomers, lipids) inevitably deform upon application of external stress. We introduce a generic model for flexible particles which we call MetaParticles (MP). These particles have tunable properties, can respond to applied tension and can deform. A metaparticle is represented as a collection of Lennard-Jones beads interconnected by spring-like potentials. We model a series of metaparticles of variable sizes and symmetries, which we subject to external stress followed by relaxation upon stress release. The positions and the orientations of the individual beads are propagated by Brownian dynamics. The simulations show that the mechanical properties of the metaparticles vary with size, bead arrangement and area of applied stress, and share an elastomer-like response to applied stress. Furthermore, metaparticles deform following different mechanisms, i.e., small MPs change shape in one step, while larger ones follow a multi-step deformation pathway, with internal rearrangements of the beads. This model is the first step towards the development and understanding of particles with adaptable properties with biomedical applications and in the design of bioinspired metamaterials. |
| title | MetaParticles: Computationally engineered nanomaterials with tunable and responsive properties |
| topic | Soft Condensed Matter |
| url | https://arxiv.org/abs/2408.02564 |