SEMICONDUCTOR PHYSICS

Prediction model for the diffusion length in silicon-based solar cells

Cheknane A and Benouaz T

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Abstract: A novel approach to compute diffusion lengths in solar cells is presented. Thus, a simulation is done; it aims to give computational support to the general development of a neural networks (NNs), which is a very powerful predictive modelling technique used to predict the diffusion length in mono-crystalline silicon solar cells. Furthermore, the computation of the diffusion length and the comparison with measurement data, using the infrared injection method, are presented and discussed.

Key words: diffusion length

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    Received: 18 August 2015 Revised: 17 February 2009 Online: Published: 01 July 2009

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      Cheknane A, Benouaz T. Prediction model for the diffusion length in silicon-based solar cells[J]. Journal of Semiconductors, 2009, 30(7): 072001. doi: 10.1088/1674-4926/30/7/072001 Cheknane A, Benouaz T. Prediction model for the diffusion length in silicon-based solar cells[J]. J. Semicond., 2009, 30(7): 072001. doi: 10.1088/1674-4926/30/7/072001.Export: BibTex EndNote
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      Cheknane A, Benouaz T. Prediction model for the diffusion length in silicon-based solar cells[J]. Journal of Semiconductors, 2009, 30(7): 072001. doi: 10.1088/1674-4926/30/7/072001

      Cheknane A, Benouaz T. Prediction model for the diffusion length in silicon-based solar cells[J]. J. Semicond., 2009, 30(7): 072001. doi: 10.1088/1674-4926/30/7/072001.
      Export: BibTex EndNote

      Prediction model for the diffusion length in silicon-based solar cells

      doi: 10.1088/1674-4926/30/7/072001
      • Received Date: 2015-08-18
      • Accepted Date: 2009-02-17
      • Revised Date: 2009-02-17
      • Published Date: 2009-07-10

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