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Symbiotic organism search algorithm for simulation of J-V characteristics and optimizing internal parameters of DSSC developed using electrospun TiO2 nanofibers

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Abstract

In the present investigation, the recently developed, simple, robust, and powerful metaheuristic symbiotic organism search (SOS) algorithm was used for simulation of J-V characteristics and optimizing the internal parameters of the dye-sensitized solar cells (DSSCs) fabricated using electrospun 1-D mesoporous TiO2 nanofibers as photoanode. The efficiency (η = 5.80%) of the DSSC made up of TiO2 nanofibers as photoanode is found to be ∼ 21.59% higher compared to the efficiency (η = 4.77%) of the DSSC made up of TiO2 nanoparticles as photoanode. The observed high efficiency can be attributed to high dye loading as well as high electron transport in the mesoporous 1-D TiO2 nanofibers. Further, the validity and advantage of SOS algorithm are verified by simulating J-V characteristics of DSSC with Lambert-W function.

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Acknowledgements

Dr. N. Satyanarayana gratefully acknowledges DST, CSIR, UGC, DRDO, AICTE, and Government of India for financial support in the form of major research projects grants.

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Correspondence to N. Satyanarayana.

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Vinoth, S., Kanimozhi, G., Kumar, H. et al. Symbiotic organism search algorithm for simulation of J-V characteristics and optimizing internal parameters of DSSC developed using electrospun TiO2 nanofibers. J Nanopart Res 19, 388 (2017). https://doi.org/10.1007/s11051-017-4071-8

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  • DOI: https://doi.org/10.1007/s11051-017-4071-8

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