1 to 10 of 51 Results
Jun 28, 2019 - charge carrier mobility
Hao, Wei, 2019, "Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility", https://doi.org/10.21979/N9/H5EF7T, DR-NTU (Data), V1
This dataset contains the atomic models of Polymer/Graphene Composite and the related simulation results of the charge carrier mobility. |
Co-Ordinate Animation - 6.6 KB -
MD5: d2af6ace15453b4c8e03112a36de0b58
the atomic structure of DCP monolayer on graphene |
Co-Ordinate Animation - 9.7 KB -
MD5: f95e8c006f49e8cf5ee658cf1ec24c14
the atomic structure of DCP bilayer on graphene |
Unknown - 44.8 KB -
MD5: f8353aba1269998d1caf3823a25b51eb
the electronic couplings between DCP 1 in first layer and DCP 2 in second layer |
Unknown - 45.0 KB -
MD5: 6b46bad97aae90a0d4a381a6d60fb073
the electronic couplings between dcp molecules on hBN |
Jun 28, 2019
Screening Semiconductive Polymer/Graphene Composite With Ultrahigh Carrier Mobility |
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 - 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 - 146.1 KB -
MD5: dde074033c0d914fcc0120881fefe2d3
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