(2021) Optimization of the Length of Silicon Nanowires Prepared from MACE Method Using Gene Expression Programming and Genetic Algorithm. Silicon. p. 10. ISSN 1876-990X
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Abstract
Metal-assisted chemical etching (MACE) of silicon is used in this study to fabricate silicon nanowire arrays (SiNWs) of different length. This method was modeled using gene expression programming (GEP), and GEP was optimized using genetic algorithms (GA). The length of SiNWs has been predicted as a function of parameters like Ag nucleation on Si and etching solution parameters. The SiNWs in the experimental test have a minimum length of 1 mu m. According to FE-SEM images, SiNWs are uniformly shaped. It could be used to fabricate electrode materials for micro-supercapacitor.
| Item Type: | Article |
|---|---|
| Keywords: | Silicon nanowire Metal-assisted chemical etching Gene expression programming Genetic algorithm Optimization silver nanoparticles ionic liquid fabrication prediction diameter growth arrays phase Chemistry Materials Science |
| Divisions: | |
| Page Range: | p. 10 |
| Journal or Publication Title: | Silicon |
| Journal Index: | ISI |
| Identification Number: | https://doi.org/10.1007/s12633-021-01515-4 |
| ISSN: | 1876-990X |
| Depositing User: | مهندس مهدی شریفی |
| URI: | http://eprints.mubam.ac.ir/id/eprint/1271 |
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