Evolutionary algorithm optimizes screen design for solar cell metallization Article Swipe
Sebastian Tepner
,
Linda Ney
,
Marius Singler
,
Maximilian Pospischil
,
Kenji Masuri
,
Florian Clement
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.jocs.2021.101325
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.jocs.2021.101325
Today’s PV production chain heavily relies on screen printing as the predominant metallization process because of its robust production capabilities. However, the continuous demand to further increase throughput rates while at the same time decreasing printed structure sizes is going to create fundamental challenges in the upcoming years. In order to address this problem, robust fine-line screens at competitive production costs need to be developed. Throughout this study, we present an optimization of screen architectures by utilizing an evolutionary algorithm. Individual screen architectures are defined by genes that represent industrial manufacturing parameters. Our algorithm then solves for the optimal trade-off between printability of a screen, its mechanical stability and optimal mesh tension to ensure sufficient snap-off mechanics. Further, a computational fluid dynamics simulation is performed to find the optimal thickness of the corresponding emulsion layer in respect to the underlying optimized mesh architecture. Our results predict mesh configurations with mesh counts up to MC = 1268 1/inch and wire diameters down to d =6.7 μm in order to enable fine-line printing below 10 μm.
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- en
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- https://doi.org/10.1016/j.jocs.2021.101325
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All OpenAlex metadata
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https://doi.org/10.1016/j.jocs.2021.101325Digital Object Identifier
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Evolutionary algorithm optimizes screen design for solar cell metallizationWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-02-15Full publication date if available
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Sebastian Tepner, Linda Ney, Marius Singler, Maximilian Pospischil, Kenji Masuri, Florian ClementList of authors in order
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https://doi.org/10.1016/j.jocs.2021.101325Publisher landing page
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jocs.2021.101325Direct OA link when available
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Computer science, Throughput, Algorithm, Evolutionary algorithm, Artificial intelligence, Telecommunications, WirelessTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 1, 2024: 4, 2022: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.at | 30, 57 |
| abstract_inverted_index.be | 63 |
| abstract_inverted_index.by | 75, 85 |
| abstract_inverted_index.in | 44, 135, 165 |
| abstract_inverted_index.is | 38, 123 |
| abstract_inverted_index.of | 15, 72, 102, 130 |
| abstract_inverted_index.on | 6 |
| abstract_inverted_index.to | 24, 40, 50, 62, 112, 125, 137, 152, 161, 167 |
| abstract_inverted_index.up | 151 |
| abstract_inverted_index.we | 68 |
| abstract_inverted_index.Our | 92, 143 |
| abstract_inverted_index.and | 108, 157 |
| abstract_inverted_index.are | 83 |
| abstract_inverted_index.for | 96 |
| abstract_inverted_index.its | 16, 105 |
| abstract_inverted_index.the | 10, 21, 31, 45, 97, 127, 131, 138 |
| abstract_inverted_index.μm | 164 |
| abstract_inverted_index.1268 | 155 |
| abstract_inverted_index.=6.7 | 163 |
| abstract_inverted_index.down | 160 |
| abstract_inverted_index.find | 126 |
| abstract_inverted_index.mesh | 110, 141, 146, 149 |
| abstract_inverted_index.need | 61 |
| abstract_inverted_index.same | 32 |
| abstract_inverted_index.that | 87 |
| abstract_inverted_index.then | 94 |
| abstract_inverted_index.this | 52, 66 |
| abstract_inverted_index.time | 33 |
| abstract_inverted_index.wire | 158 |
| abstract_inverted_index.with | 148 |
| abstract_inverted_index.μm. | 173 |
| abstract_inverted_index.below | 171 |
| abstract_inverted_index.chain | 3 |
| abstract_inverted_index.costs | 60 |
| abstract_inverted_index.fluid | 120 |
| abstract_inverted_index.genes | 86 |
| abstract_inverted_index.going | 39 |
| abstract_inverted_index.layer | 134 |
| abstract_inverted_index.order | 49, 166 |
| abstract_inverted_index.rates | 28 |
| abstract_inverted_index.sizes | 37 |
| abstract_inverted_index.while | 29 |
| abstract_inverted_index.1/inch | 156 |
| abstract_inverted_index.counts | 150 |
| abstract_inverted_index.create | 41 |
| abstract_inverted_index.demand | 23 |
| abstract_inverted_index.enable | 168 |
| abstract_inverted_index.ensure | 113 |
| abstract_inverted_index.relies | 5 |
| abstract_inverted_index.robust | 17, 54 |
| abstract_inverted_index.screen | 7, 73, 81 |
| abstract_inverted_index.solves | 95 |
| abstract_inverted_index.study, | 67 |
| abstract_inverted_index.years. | 47 |
| abstract_inverted_index.address | 51 |
| abstract_inverted_index.because | 14 |
| abstract_inverted_index.between | 100 |
| abstract_inverted_index.defined | 84 |
| abstract_inverted_index.further | 25 |
| abstract_inverted_index.heavily | 4 |
| abstract_inverted_index.optimal | 98, 109, 128 |
| abstract_inverted_index.predict | 145 |
| abstract_inverted_index.present | 69 |
| abstract_inverted_index.printed | 35 |
| abstract_inverted_index.process | 13 |
| abstract_inverted_index.respect | 136 |
| abstract_inverted_index.results | 144 |
| abstract_inverted_index.screen, | 104 |
| abstract_inverted_index.screens | 56 |
| abstract_inverted_index.tension | 111 |
| abstract_inverted_index.Further, | 117 |
| abstract_inverted_index.However, | 20 |
| abstract_inverted_index.dynamics | 121 |
| abstract_inverted_index.emulsion | 133 |
| abstract_inverted_index.increase | 26 |
| abstract_inverted_index.printing | 8, 170 |
| abstract_inverted_index.problem, | 53 |
| abstract_inverted_index.snap-off | 115 |
| abstract_inverted_index.upcoming | 46 |
| abstract_inverted_index.Today’s | 0 |
| abstract_inverted_index.algorithm | 93 |
| abstract_inverted_index.diameters | 159 |
| abstract_inverted_index.fine-line | 55, 169 |
| abstract_inverted_index.optimized | 140 |
| abstract_inverted_index.performed | 124 |
| abstract_inverted_index.represent | 88 |
| abstract_inverted_index.stability | 107 |
| abstract_inverted_index.structure | 36 |
| abstract_inverted_index.thickness | 129 |
| abstract_inverted_index.trade-off | 99 |
| abstract_inverted_index.utilizing | 76 |
| abstract_inverted_index.Individual | 80 |
| abstract_inverted_index.Throughout | 65 |
| abstract_inverted_index.algorithm. | 79 |
| abstract_inverted_index.challenges | 43 |
| abstract_inverted_index.continuous | 22 |
| abstract_inverted_index.decreasing | 34 |
| abstract_inverted_index.developed. | 64 |
| abstract_inverted_index.industrial | 89 |
| abstract_inverted_index.mechanical | 106 |
| abstract_inverted_index.mechanics. | 116 |
| abstract_inverted_index.production | 2, 18, 59 |
| abstract_inverted_index.simulation | 122 |
| abstract_inverted_index.sufficient | 114 |
| abstract_inverted_index.throughput | 27 |
| abstract_inverted_index.underlying | 139 |
| abstract_inverted_index.competitive | 58 |
| abstract_inverted_index.fundamental | 42 |
| abstract_inverted_index.parameters. | 91 |
| abstract_inverted_index.predominant | 11 |
| abstract_inverted_index.evolutionary | 78 |
| abstract_inverted_index.optimization | 71 |
| abstract_inverted_index.printability | 101 |
| abstract_inverted_index.architecture. | 142 |
| abstract_inverted_index.architectures | 74, 82 |
| abstract_inverted_index.capabilities. | 19 |
| abstract_inverted_index.computational | 119 |
| abstract_inverted_index.corresponding | 132 |
| abstract_inverted_index.manufacturing | 90 |
| abstract_inverted_index.metallization | 12 |
| abstract_inverted_index.configurations | 147 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5088162178 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I4210117272 |
| citation_normalized_percentile.value | 0.69301632 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |