Issue 22, 2023

Computational assessment of the potential of cross-catalytic coprecipitating systems for the bottom-up design of nanocomposites

Abstract

The production of nanocomposites is often economically and environmentally costly. Silica-witherite biomorphs, known for producing a wealth of life-like shapes, are nanocomposites entirely formed through self-organization processes. Behind these precipitates are two precipitation reactions that catalyze each other. Using a simple computational approach, we show here that this type of chemical system – defined here as Cross-Catalytic Coprecipitating Systems (CCCSs) – is of great interest to material design. Provided that cross-catalytic effects are sufficient to overcome the precipitation thresholds for each phase, all CCCSs can be expected to self-organize into nanocomposite materials through a one-pot, one-step synthesis protocol. Symmetry-breaking events generating various complex, ordered textures are predicted in CCCSs involving crystalline phases. While high levels of stochasticity lead to a loss of ordering, coprecipitation is found to be robust to diffusion or advection in the solution. This model shows that a couple of chemical reactions can generate a range of complex textures – with possibly distinct physical/chemical properties. Cross-catalytic coprecipitating systems consequently represent a promising avenue for producing nanocomposites with complex textures at reduced economic and environmental costs.

Graphical abstract: Computational assessment of the potential of cross-catalytic coprecipitating systems for the bottom-up design of nanocomposites

Supplementary files

Article information

Article type
Paper
Submitted
24 Apr 2023
Accepted
27 Sep 2023
First published
18 Oct 2023
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2023,5, 6148-6154

Computational assessment of the potential of cross-catalytic coprecipitating systems for the bottom-up design of nanocomposites

J. Rouillard, B. Maier, H. Cölfen and J. García-Ruiz, Nanoscale Adv., 2023, 5, 6148 DOI: 10.1039/D3NA00271C

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