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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1021/acs.langmuir.1c02057
|2 doi
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|a eng
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| 100 |
1 |
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|a Razaulla, Talha
|e verfasserin
|4 aut
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|a Multiple Linear Regression Modeling of Nanosphere Self-Assembly via Spin Coating
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 26.10.2021
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Nanosphere lithography employs single- or multilayer self-assembled nanospheres as a template for bottom-up nanoscale patterning. The ability to produce self-assembled nanospheres with minimal packing defects over large areas is critical to advancing applications of nanosphere lithography. Spin coating is a simple-to-execute, high-throughput method of nanosphere self-assembly. The wide range of possible process parameters for nanosphere spin coating, however-and the sensitivity of nanosphere self-assembly to these parameters-can lead to highly variable outcomes in nanosphere configuration by this method. Finding the optimum process parameters for nanosphere spin coating remains challenging. This work adopts a design-of-experiments approach to investigate the effects of seven factors-nanosphere wt%, methanol/water ratio, solution volume, wetting time, spin time, maximum revolutions per minute, and ramp rate-on two response variables-percentage hexagonal close packing and macroscale coverage of nanospheres. Single-response and multiple-response linear regression models identify main and two-way interaction effects of statistical significance to the outcomes of both response variables and enable prediction of optimized settings. The results indicate a tradeoff between the high ramp rates required for large macroscale coverage and the need to minimize high shear forces and evaporation rates to ensure that nanospheres properly self-assemble into hexagonally packed arrays
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|a Journal Article
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|a Bekeris, Michael
|e verfasserin
|4 aut
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|a Feng, Haidong
|e verfasserin
|4 aut
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| 700 |
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|a Beeman, Michael
|e verfasserin
|4 aut
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|a Nze, Ugochukwu
|e verfasserin
|4 aut
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|a Warren, Roseanne
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Langmuir : the ACS journal of surfaces and colloids
|d 1992
|g 37(2021), 42 vom: 26. Okt., Seite 12419-12428
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|x 1520-5827
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|g volume:37
|g year:2021
|g number:42
|g day:26
|g month:10
|g pages:12419-12428
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|u http://dx.doi.org/10.1021/acs.langmuir.1c02057
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