Highly parallel acoustic assembly of microparticles into well-ordered colloidal crystallitesElectronic supplementary information (ESI) available. See DOI: 10.1039/c5sm02348c

• Main Authors: Owens, Crystal E, Shields, C. Wyatt, Cruz, Daniela F, Charbonneau, Patrick, López, Gabriel P
• Format: Journal Article
• Published: 06.01.2016
• ISSN: 1744-683X; 1744-6848
• DOI: 10.1039/c5sm02348c

The precise arrangement of microscopic objects is critical to the development of functional materials and ornately patterned surfaces. Here, we present an acoustics-based method for the rapid arrangement of microscopic particles into organized and programmable architectures, which are periodically spaced within a square assembly chamber. This macroscale device employs two-dimensional bulk acoustic standing waves to propel particles along the base of the chamber toward pressure nodes or antinodes, depending on the acoustic contrast factor of the particle, and is capable of simultaneously creating thousands of size-limited, isotropic and anisotropic assemblies within minutes. We pair experiments with Brownian dynamics simulations to model the migration kinetics and assembly patterns of spherical microparticles. We use these insights to predict and subsequently validate the onset of buckling of the assemblies into three-dimensional clusters by experiments upon increasing the acoustic pressure amplitude and the particle concentration. The simulations are also used to inform our experiments for the assembly of non-spherical particles, which are then recovered via fluid evaporation and directly inspected by electron microscopy. This method for assembly of particles offers several notable advantages over other approaches ( e.g. , magnetics, electrokinetics and optical tweezing) including simplicity, speed and scalability and can also be used in concert with other such approaches for enhancing the types of assemblies achievable. We present a method to assemble microparticles into well-ordered crystallites using acoustic standing waves and quantitatively simulate the formation of the emergent structures.