# Nanocrystal growth via the precipitation method

## TL;DR

This paper presents a mathematical model for nanocrystal growth via precipitation, including single and multiple particle systems, validated against experimental data, and offers insights for process optimization.

## Contribution

It introduces a comprehensive mathematical framework for nanocrystal growth, extending from single particles to multiple particles, including Ostwald ripening, with analytical solutions and experimental validation.

## Key findings

- Excellent agreement with experimental data
- Single controlling group influences growth process
- Model can describe bimodal distributions

## Abstract

A mathematical model to describe the growth of an arbitrarily large number of nanocrystals from solution is presented. First, the model for a single particle is developed. By non-dimensionalising the system we are able to determine the dominant terms and reduce it to the standard pseudo-steady approximation. The range of applicability and further reductions are discussed. An approximate analytical solution is also presented. The one particle model is then generalised to $N$ well dispersed particles. By setting $N=2$ we are able to investigate in detail the process of Ostwald ripening. The various models, the $N$ particle, single particle and the analytical solution are compared against experimental data, all showing excellent agreement. By allowing $N$ to increase we show that the single particle model may be considered as representing the average radius of a system with a large number of particles. Following a similar argument the $N=2$ model could describe an initially bimodal distribution. The mathematical solution clearly shows the effect of problem parameters on the growth process and, significantly, that there is a single controlling group. The model provides a simple way to understand nanocrystal growth and hence to guide and optimise the process.