纳米颗粒
Crystal(编程语言)
材料科学
微晶
超晶格
非平衡态热力学
化学物理
晶体生长
纳米技术
背景(考古学)
胶体晶体
粒子(生态学)
胶体
结晶学
化学
热力学
物理
物理化学
计算机科学
光电子学
程序设计语言
古生物学
海洋学
生物
地质学
冶金
作者
Matthew Ye,Theodore Hueckel,Perapat P. Gatenil,Keisuke Nagao,W. Craig Carter,Robert J. Macfarlane
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-06-05
卷期号:18 (24): 15970-15977
被引量:11
标识
DOI:10.1021/acsnano.4c04192
摘要
Nanoparticle assembly is a material synthesis strategy that enables precise control of nanoscale structural features. Concepts from traditional crystal growth research have been tremendously useful in predicting and programming the unit cell symmetries of these assemblies, as their thermodynamically favored structures are often identical to atomic crystal analogues. However, these analogies have not yielded similar levels of influence in programming crystallite shapes, which are a consequence of both the thermodynamics and kinetics of crystal growth. Here, we demonstrate kinetic control of the colloidal crystal shape using nanoparticle building blocks that rapidly assemble over a broad range of concentrations, thereby producing well-defined crystal habits with symmetrically oriented dendritic protrusions and providing insight into the crystals' morphological evolution. Counterintuitively, these nonequilibrium crystal shapes actually become more common for colloidal crystals synthesized closer to equilibrium growth conditions. This deviation from typical crystal growth processes observed in atomic or molecular crystals is shown to be a function of the drastically different time scales of atomic and colloidal mass transport. Moreover, the particles are spherical with isotropic ligand grafts, and these kinetic crystal habits are achieved without the need for specifically shaped particle building blocks or external templating or shape-directing agents. Thus, this work provides generalizable design principles to expand the morphological diversity of nanoparticle superlattice crystal habits beyond the anhedral or equilibrium polyhedral shapes synthesized to date. Finally, we use this insight to synthesize crystallite shapes that have never before been observed, demonstrating the ability to both predict and program kinetically controlled superlattice morphologies.
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