1. In Situ X‑ray Scattering Reveals Coarsening Rates of Superlattices Self-Assembled from Electrostatically Stabilized Metal Nanocrystals Depend Nonmonotonically on Driving Force
- Author
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Tanner, Christian PN, Utterback, James K, Portner, Joshua, Coropceanu, Igor, Das, Avishek, Tassone, Christopher J, Teitelbaum, Samuel W, Limmer, David T, Talapin, Dmitri V, and Ginsberg, Naomi S
- Subjects
Macromolecular and Materials Chemistry ,Engineering ,Chemical Sciences ,Physical Sciences ,Bioengineering ,soft condensed matter ,nanocrystals ,self-assembly ,coarsening ,X-ray scattering ,in situ measurement ,Nanoscience & Nanotechnology - Abstract
Self-assembly of colloidal nanocrystals (NCs) into superlattices (SLs) is an appealing strategy to design hierarchically organized materials with promising functionalities. Mechanistic studies are still needed to uncover the design principles for SL self-assembly, but such studies have been difficult to perform due to the fast time and short length scales of NC systems. To address this challenge, we developed an apparatus to directly measure the evolving phases in situ and in real time of an electrostatically stabilized Au NC solution before, during, and after it is quenched to form SLs using small-angle X-ray scattering. By developing a quantitative model, we fit the time-dependent scattering patterns to obtain the phase diagram of the system and the kinetics of the colloidal and SL phases as a function of varying quench conditions. The extracted phase diagram is consistent with particles whose interactions are short in range relative to their diameter. We find the degree of SL order is primarily determined by fast (subsecond) initial nucleation and growth kinetics, while coarsening at later times depends nonmonotonically on the driving force for self-assembly. We validate these results by direct comparison with simulations and use them to suggest dynamic design principles to optimize the crystallinity within a finite time window. The combination of this measurement methodology, quantitative analysis, and simulation should be generalizable to elucidate and better control the microscopic self-assembly pathways of a wide range of bottom-up assembled systems and architectures.
- Published
- 2024