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Improving self-assembly quality of colloidal crystal guided by statistical design of experiments |
| Yizhi Wu(吴以治)1, Xiaoliang Xu(许小亮)2, Haiming Zhang(张海明)1, Ling Liu(刘玲)1, Jichao Li(李继超)1, Dabao Yang(杨大宝)1 |
1 Department of Applied Physics, School of Science, Tianjin Polytechnic University, Tianjin 300387, China;
2 Department of Physics, University of Science and Technology of China, Hefei 230026, China |
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Abstract A versatile and reliable approach is created to fabricate wafer-scale colloidal crystal that consists of a monolayer of hexagonally close-packed polystyrene (PS) spheres. Making wafer-scale colloidal crystal is usually challenging, and it lacks a general theoretical guidance for experimental approaches. To obtain the optimal conditions for self-assembly, a systematic statistical design and analysis method is utilized here, which applies the pick-the-winner rule. This new method combines spin-coating and thermal treatment, and introduces a mixture of glycol and ethanol as a dispersion system to assist self-assembly. By controlling the parameters of self-assembly, we improve the quality of colloidal crystal and reduce the effect of noise on the experiment. To our best knowledge, we are first to pave this path to harvest colloidal crystals. Importantly, a theoretical analysis using an energy landscape base on our process is also developed to provide insights into the PS spheres' self-assembly.
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Received: 04 December 2016
Revised: 22 December 2016
Accepted manuscript online:
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PACS:
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81.16.Dn
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(Self-assembly)
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81.07.-b
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(Nanoscale materials and structures: fabrication and characterization)
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87.15.nt
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(Crystallization)
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87.15.A-
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(Theory, modeling, and computer simulation)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11504264, 51501128, and 61274064). |
Corresponding Authors:
Yizhi Wu
E-mail: wuyizhi@tjpu.edu.cn
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Cite this article:
Yizhi Wu(吴以治), Xiaoliang Xu(许小亮), Haiming Zhang(张海明), Ling Liu(刘玲), Jichao Li(李继超), Dabao Yang(杨大宝) Improving self-assembly quality of colloidal crystal guided by statistical design of experiments 2017 Chin. Phys. B 26 038105
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