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Micro-cooler enhancements by barrier interface analysis
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1.
1. A. Stephen, G. M. Dunn, C. H. Oxley, J. Glover, M. Montes, D. R. S. Cumming, A. Khalid, and M. Kuball, “Improvements in Thermionic Cooling through Engineering of the Heterostructure Interface using Monte Carlo Simulations,” Journal of Applied Physics 114(4), 043717 (2013).
http://dx.doi.org/10.1063/1.4817087
2.
2. J. Glover, A. Khalid, D. R. S. Cumming, M. Montes, M. Kuball, A. Stephen, G. M. Dunn, and C. H. Oxley, “Analysis to Determine External Loading on Electro-Thermal Wafer Based Micro-Coolers,” submitted to IET, (2013).
3.
3. R. W. Hockney and J. W. Eastwood, Computer Simulation using Particles. (A. Hilger, Bristol England, Philadelphia, 1988).
4.
4. A. K. Saxena, “Hall to Drift Mobility Ratio in Ga1−xAlxAs Alloys,” Solid State Communications 39(7), 83942 (1981).
http://dx.doi.org/10.1016/0038-1098(81)90526-3
5.
5. R. Chein and G. Huang, “Thermoelectric Cooler Application in Electronic Cooling,” Applied Thermal Engineering 24(14–15), 220717 (2004).
http://dx.doi.org/10.1016/j.applthermaleng.2004.03.001
6.
6. Y. Zhang, Y. Chen, C. Gong, J. Yang, R. Qian, and Y. Wang, “Optimization of Superlattice Thermoelectric Materials and Microcoolers,” Microelectromechanical Systems, Journal of, 16(5), 11139 (2007).
http://dx.doi.org/10.1109/JMEMS.2007.900884
7.
7. H. Arabshahi, Z. Moodi, and A. Pourhasan, “Numerical Calculation of the Electron Mobility in GaAs Semiconductor Under Weak Electric Field Application,” Int. J. of Sci., Env. and Tech. 1(2), 80 (2012).
8.
8. M. Zebarjadi, A. Shakouri, and K. Esfarjani, “Thermoelectric Transport Perpendicular to Thin-Film Heterostructures Calculated using the Monte Carlo Technique,” Phys. Rev. B 74, 195331 (2006).
http://dx.doi.org/10.1103/PhysRevB.74.195331
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/content/aip/journal/adva/4/2/10.1063/1.4865251
2014-02-05
2014-08-28

Abstract

A novel gallium arsenide (GaAs) based micro-cooler design, previously analysed both experimentally and by an analytical Heat Transfer (HT) model, has been simulated using a self-consistent Ensemble Monte Carlo (EMC) model for a more in depth analysis of the thermionic cooling in the device. The best fit to the experimental data was found and was used in conjunction with the HT model to estimate the cooler-contact resistance. The cooling results from EMC indicated that the cooling power of the device is highly dependent on the charge distribution across the leading interface. Alteration of this charge distribution via interface extensions on the nanometre scale has shown to produce significant changes in cooler performance.

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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Micro-cooler enhancements by barrier interface analysis
http://aip.metastore.ingenta.com/content/aip/journal/adva/4/2/10.1063/1.4865251
10.1063/1.4865251
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