| Title |
Tailoring photonic metamaterial resonances for thermal radiation
|
|---|---|
| Published in |
Discover Nano, October 2011
|
| DOI | 10.1186/1556-276x-6-549 |
| Pubmed ID | |
| Authors |
Peter Bermel, Michael Ghebrebrhan, Michael Harradon, Yi Xiang Yeng, Ivan Celanovic, John D Joannopoulos, Marin Soljacic |
| Abstract |
Selective solar absorbers generally have limited effectiveness in unconcentrated sunlight, because of reradiation losses over a broad range of wavelengths and angles. However, metamaterials offer the potential to limit radiation exchange to a proscribed range of angles and wavelengths, which has the potential to dramatically boost performance. After globally optimizing one particular class of such designs, we find thermal transfer efficiencies of 78% at temperatures over 1,000°C, with overall system energy conversion efficiencies of 37%, exceeding the Shockley-Quiesser efficiency limit of 31% for photovoltaic conversion under unconcentrated sunlight. This represents a 250% increase in efficiency and 94% decrease in selective emitter area compared to a standard, angular-insensitive selective absorber.PACS: 42.70.Qs; 81.05.Xj; 78.67.Pt; 42.79.Ek. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Unknown | 101 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 37% |
| Researcher | 23 | 22% |
| Student > Doctoral Student | 12 | 11% |
| Student > Master | 8 | 8% |
| Professor > Associate Professor | 6 | 6% |
| Other | 12 | 11% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 41 | 39% |
| Physics and Astronomy | 33 | 31% |
| Materials Science | 13 | 12% |
| Chemistry | 4 | 4% |
| Social Sciences | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 11 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 27 September 2018.
All research outputs
#2,329,859
of 25,373,627 outputs
Outputs from Discover Nano
#30
of 1,146 outputs
Outputs of similar age
#11,682
of 145,917 outputs
Outputs of similar age from Discover Nano
#2
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 145,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.