Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid interface. Here, we...
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sg-ntu-dr.10356-888882023-07-14T15:53:11Z Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces Shi, Wenxiong Zhang, Zhonghan Li, Shuzhou School of Materials Science & Engineering Centre for Programmable Materials Platonic Nanoparticle Free Energy Change Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid interface. Here, we numerically explored all possible orientations of three Platonic nanoparticles (tetrahedron, cube, and octahedron) and found that a specific orientation (vertex-up, edge-up, or facet-up) is more preferred than random orientations. We also demonstrated their positions and orientations can be quantitatively predicted when the surface tensions dominate their total interaction energies. The line tensions may affect their positions and orientations only when total interaction energies are close to each other for more than one orientation. The molecular dynamics simulation results were in excellent agreement with our theoretical predictions. Our theory will advance our ability toward predicting the final structures of Platonic nanoparticle assemblies at a liquid/liquid interface. MOE (Min. of Education, S’pore) Accepted version 2018-05-15T03:13:50Z 2019-12-06T17:13:07Z 2018-05-15T03:13:50Z 2019-12-06T17:13:07Z 2018 2018 Journal Article Shi, W., Zhang, Z., & Li, S. (2018). Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces. Journal of Physical Chemistry Letters, 9(2), 373-382. https://hdl.handle.net/10356/88888 http://hdl.handle.net/10220/44785 10.1021/acs.jpclett.7b03187 207231 en Journal of Physical Chemistry Letters https://doi.org/10.21979/N9/4OC5RI © 2018 American Chemical Society (ACS). This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Physical Chemistry Letters, American Chemical Society (ACS). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1021/acs.jpclett.7b03187]. 32 p. application/pdf |
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Platonic Nanoparticle Free Energy Change Shi, Wenxiong Zhang, Zhonghan Li, Shuzhou Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
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Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid interface. Here, we numerically explored all possible orientations of three Platonic nanoparticles (tetrahedron, cube, and octahedron) and found that a specific orientation (vertex-up, edge-up, or facet-up) is more preferred than random orientations. We also demonstrated their positions and orientations can be quantitatively predicted when the surface tensions dominate their total interaction energies. The line tensions may affect their positions and orientations only when total interaction energies are close to each other for more than one orientation. The molecular dynamics simulation results were in excellent agreement with our theoretical predictions. Our theory will advance our ability toward predicting the final structures of Platonic nanoparticle assemblies at a liquid/liquid interface. |
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School of Materials Science & Engineering |
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School of Materials Science & Engineering Shi, Wenxiong Zhang, Zhonghan Li, Shuzhou |
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Article |
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Shi, Wenxiong Zhang, Zhonghan Li, Shuzhou |
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Shi, Wenxiong |
title |
Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
title_short |
Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
title_full |
Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
title_fullStr |
Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
title_full_unstemmed |
Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces |
title_sort |
quantitative prediction of position and orientation for platonic nanoparticles at liquid/liquid interfaces |
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2018 |
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https://hdl.handle.net/10356/88888 http://hdl.handle.net/10220/44785 https://doi.org/10.21979/N9/4OC5RI |
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