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Unknown - 44.8 KB -
MD5: f8353aba1269998d1caf3823a25b51eb
the electronic couplings between DCP 1 in first layer and DCP 2 in second layer |
Jun 28, 2019 - nanoparticles superlattice
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
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... |
Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 115.5 KB -
MD5: c44e44b6f3bf539808f0ef19456d30ea
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 146.1 KB -
MD5: dde074033c0d914fcc0120881fefe2d3
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 111.3 KB -
MD5: 7eae36a3cca2d846a8b1d73aeb6e8a70
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 151.1 KB -
MD5: cbf0c7fd00b6c2243404d7032e2d59f3
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 2.8 MB -
MD5: 7fcecb403d6aa6bec803fd2ba81209ec
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 144.1 KB -
MD5: ceb4f19aab2efd94e532167ede78815c
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 2.8 MB -
MD5: 51e109e6c3a105c8a6a7610d2b12c534
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Jun 28, 2019 -
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces
Unknown - 152.5 KB -
MD5: dbb640d1c783ae54299f27c0d5da9e8c
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