Cluster Dynamics Modeling of Materials: Advantages and Limitations

TL;DR

This paper reviews cluster dynamics modeling in materials science, highlighting its computational efficiency and suitability for long-term evolution studies, while discussing its limitations in handling heterogeneous spatial phenomena.

Contribution

It provides a comprehensive review of the advantages and limitations of cluster dynamics modeling, especially in comparison to lattice kinetic Monte Carlo methods.

Findings

Efficient for long-term microstructure evolution.

Works well with homogeneous object distributions.

Struggles with heterogeneous damage modeling under irradiation.

Abstract

The aim of this paper is to give a short review on cluster dynamics modeling in the field of atoms and point defects clustering in materials. It is shown that this method, due to its low computer cost, can handle long term evolution that cannot, in many cases, be obtained by Lattice Kinetic Monte Carlo methods. Indeed, such a possibility is achieved thanks to an important drawback that is the loss of space correlations of the elements of the microstructures. Some examples, in the field of precipitation and irradiation of metallic materials are given. The limitations and difficulties of this method are also discussed. Unsurprisingly, it is shown that it goes in a very satisfactory way when the objects are distributed homogeneously. Conversely, the source term describing the primary damage under irradiation, by nature heterogeneous in space and time, is tricky to introduce especially when displacement cascades are produced.