中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Shape-dependent ordering of gold nanocrystals into large-scale superlattices

文献类型:期刊论文

作者Gong, JX; Newman, RS; Engel, M; Zhao, M; Bian, FG; Glotzer, SC; Tang, ZY
刊名NATURE COMMUNICATIONS
出版日期2017
卷号8页码:-
ISSN号2041-1723
DOI10.1038/ncomms14038
文献子类期刊论文
英文摘要Self-assembly of individual building blocks into highly ordered structures, analogous to spontaneous growth of crystals from atoms, is a promising approach to realize the collective properties of nanocrystals. Yet the ability to reliably produce macroscopic assemblies is unavailable and key factors determining assembly quality/yield are not understood. Here we report the formation of highly ordered superlattice films, with single crystalline domains of up to half a millimetre in two dimensions and thickness of up to several microns from nanocrystals with tens of nanometres in diameter. Combining experimental and computational results for gold nanocrystals in the shapes of spheres, cubes, octahedra and rhombic dodecahedra, we investigate the entire self-assembly process from disordered suspensions to large-scale ordered superlattices induced by nanocrystal sedimentation and eventual solvent evaporation. Our findings reveal that the ultimate coherence length of superlattices strongly depends on nanocrystal shape. Factors inhibiting the formation of high-quality large-scale superlattices are explored in detail.
语种英语
WOS记录号WOS:000392178500001
源URL[http://ir.sinap.ac.cn/handle/331007/27440]  
专题上海应用物理研究所_中科院上海应用物理研究所2011-2017年
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GB/T 7714
Gong, JX,Newman, RS,Engel, M,et al. Shape-dependent ordering of gold nanocrystals into large-scale superlattices[J]. NATURE COMMUNICATIONS,2017,8:-.
APA Gong, JX.,Newman, RS.,Engel, M.,Zhao, M.,Bian, FG.,...&Tang, ZY.(2017).Shape-dependent ordering of gold nanocrystals into large-scale superlattices.NATURE COMMUNICATIONS,8,-.
MLA Gong, JX,et al."Shape-dependent ordering of gold nanocrystals into large-scale superlattices".NATURE COMMUNICATIONS 8(2017):-.

入库方式: OAI收割

来源:上海应用物理研究所

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