Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces (doi:10.21979/N9/4OC5RI)

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Document Description

Citation

Title:

Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces

Identification Number:

doi:10.21979/N9/4OC5RI

Distributor:

DR-NTU (Data)

Date of Distribution:

2019-06-28

Version:

1

Bibliographic Citation:

Shi Wenxiong, 2019, "Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces", https://doi.org/10.21979/N9/4OC5RI, DR-NTU (Data), V1

Study Description

Citation

Title:

Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces

Identification Number:

doi:10.21979/N9/4OC5RI

Authoring Entity:

Shi Wenxiong (Nanyang Technological University)

Software used in Production:

gromac

Grant Number:

RG107/15

Distributor:

DR-NTU (Data)

Access Authority:

Hao, Wei

Depositor:

Hao, Wei

Date of Deposit:

2019-05-28

Holdings Information:

https://doi.org/10.21979/N9/4OC5RI

Study Scope

Keywords:

Engineering, Physics, Engineering, Physics, superlattice, nano particle

Abstract:

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.

Kind of Data:

process-produced data

Methodology and Processing

Sources Statement

Data Access

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Related Publications

Citation

Identification Number:

10.1021/acs.jpclett.7b03187

Bibliographic Citation:

Shi, W., Zhang, Z., & Li, S. (2018). Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces. The journal of physical chemistry letters, 9(2), 373-382.

Citation

Identification Number:

10356/88888

Bibliographic Citation:

Shi, W., Zhang, Z., & Li, S. (2018). Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces. The journal of physical chemistry letters, 9(2), 373-382.

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