A quantum-dot light-harvesting architecture using deterministic phase control

Wakayama, Cherry; Kohn, Wolf; Zabinsky, Zelda B.; Shi, Richard

doi:10.1109/iscas.2008.4541422

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Futuristic models of solar cells will use advanced nanomaterials for increasing efficiency and reliability of solar cells [13]. Quantum dots based solar harvesting architecture has been discussed [1]. Photo voltaic effects of a PbSe nanocrystal quantum dots based photo diode has been studied [5].…”

Section: Introductionmentioning

confidence: 99%

Modeling Nano enabled elements of solar and fuel cell

Pathak¹,

Joshi

Kotak³

et al. 2009

2009 Innovative Technologies in Intelligent Systems and Industrial Applications

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Abstract-We have proposed a unified approach to the modeling and study of developments in the field of Nanotechnology and its application in futuristic Nano-enabled Cells. The necessity of a nonporous membrane has been eminent in recent fuel cells. The need for MEMS based models for porous silicon based membranes based on nano imprints technology has been met by modeling it in SUGAR in MATLAB environment. We have identified and categorized the domains of Nano enabled solar cells and have put forth a proposition for multi scale modeling of Solar cells. Multi scale modeling on HPC (High performance computing) of a Nano enabled solar cell is shown under MCCS (Microsoft compute cluster environment) environment using extreme optimization numerical library is implemented. Distribution and performance analysis of four levels of computation in a multi scale model is implemented with the distribution being carried out from classical semi-conductor to quantum levels as to accurately predict the behavior and properties of the solar cell as per the needs of the engineering of devices.

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Section: Introductionmentioning

confidence: 99%

Modeling Nano enabled elements of solar and fuel cell

Pathak¹,

Joshi

Kotak³

et al. 2009

2009 Innovative Technologies in Intelligent Systems and Industrial Applications

View full text Add to dashboard Cite

show abstract

Modeling and analysis of Nano enable solar and fuel cell systems

Joshi¹,

Pathak²

2009

2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE)

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In this paper the modeling aspects of some proposals of MEMS elements of fuel cells are explained. The necessity of a nonporous membrane, MEMS based pumps, anodes etc. has been eminent in recent fuel cells. The need for MEMS based models for porous silicon based membranes based on nano imprints technology has been met by modeling it in SUGAR in MATLAB environment. We have identified and categorized the domains of Nano enabled solar cells and have put forth a proposition for multi scale modeling of Solar cells. Multi scale modeling on HPC (High performance computing) of a Nano enabled solar cell is shown under MCCS (Microsoft compute cluster environment) environment using extreme optimization numerical library. Distribution and performance analysis of four levels of computation in a multi scale model is implemented with the distribution being carried out from classical semi-conductor to quantum levels as to accurately predict the behavior and properties of the solar cell.

show abstract

A quantum-dot light-harvesting architecture using deterministic phase control

Cited by 2 publications

References 6 publications

Modeling Nano enabled elements of solar and fuel cell

Modeling Nano enabled elements of solar and fuel cell

Modeling and analysis of Nano enable solar and fuel cell systems

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