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Mendeley readers
Attention Score in Context
| Title |
Effects of quantum statistics of phonons on the thermal conductivity of silicon and germanium nanoribbons
|
|---|---|
| Published in |
Discover Nano, January 2013
|
| DOI | 10.1186/1556-276x-8-7 |
| Pubmed ID | |
| Authors |
Yuriy A Kosevich, Alexander V Savin, Andrés Cantarero |
| Abstract |
: We present molecular dynamics simulation of phonon thermal conductivity of semiconductor nanoribbons with an account for phonon quantum statistics. In our semiquantum molecular dynamics simulation, dynamics of the system is described with the use of classical Newtonian equations of motion where the effect of phonon quantum statistics is introduced through random Langevin-like forces with a specific power spectral density (color noise). The color noise describes interaction of the molecular system with the thermostat. The thermal transport of silicon and germanium nanoribbons with atomically smooth (perfect) and rough (porous) edges are studied. We show that the existence of rough (porous) edges and the quantum statistics of phonon change drastically the low-temperature thermal conductivity of the nanoribbon in comparison with that of the perfect nanoribbon with atomically smooth edges and classical phonon dynamics and statistics. The rough-edge phonon scattering and weak anharmonicity of the considered lattice produce a weakly pronounced maximum of thermal conductivity of the nanoribbon at low temperature. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 11% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 37% |
| Researcher | 4 | 21% |
| Professor | 3 | 16% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 9 | 47% |
| Materials Science | 3 | 16% |
| Sports and Recreations | 1 | 5% |
| Chemistry | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#258,420
of 289,019 outputs
Outputs of similar age from Discover Nano
#21
of 83 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.