2018
DOI: 10.1007/s10853-018-2464-4
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Optimization of sol–gel spin-coated Cu2ZnSnS4 (CZTS) thin-film control parameters by RSM method to enhance the solar cell performance

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Cited by 23 publications
(2 citation statements)
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“…The three optimization variables were the input of the finite element model, and the algorithm applied in the optimization analysis was further illustrated in Supplementary Figure S1 in the Supplementary material ( Zhou et al, 2013 ; López et al, 2017 ; Shang et al, 2019 ). The impact of the three optimization parameters on the optimal object was analyzed using the response surface model (RSM) method ( Li et al, 2016 ; Patel and Gohel 2018 ; Li et al, 2019 ; Zhao et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…The three optimization variables were the input of the finite element model, and the algorithm applied in the optimization analysis was further illustrated in Supplementary Figure S1 in the Supplementary material ( Zhou et al, 2013 ; López et al, 2017 ; Shang et al, 2019 ). The impact of the three optimization parameters on the optimal object was analyzed using the response surface model (RSM) method ( Li et al, 2016 ; Patel and Gohel 2018 ; Li et al, 2019 ; Zhao et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…The preparation of mesoporous structure for nonsilicate materials and sol‐gel process are challenging, as they require the investigation of several process parameters. DOE offers a systematic method for optimizing synthesis parameters . Masouleh and coworkers, applied TM with an L9 orthogonal array to optimize the preparation condition for template‐free sol‐gel synthesis of mesoporous γ‐alumina.…”
Section: Introductionmentioning
confidence: 99%