Particle Tracking Methods for Battery Precipitation Reactions

Precipitation and deposition reactions at solid–liquid interfaces play a key role in a number of battery chemistries, including Li-ion, so-called “anode free” batteries, zinc-based battery chemistries, and lithium–sulfur, among others. Although models with heterogeneous nucleation and growth phenomena are present in the literature, papers have not to date provided much detail on the numerical algorithms used to track the temporal evolution of the particle size distribution of deposits on electrode surfaces. In this paper we examine several approaches to discretize and track the particle size distribution, demonstrating that common approaches lead to anomalous flattening of the particle size distribution. We conclude by presenting an algorithm that preserves the appropriate particle size distribution during particle growth.

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Publication Details

Journal
The Journal of Physical Chemistry C
Published
2026-05-21
DOI
https://doi.org/10.1021/acs.jpcc.6c00310
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Particle Tracking Methods for Battery Precipitation Reactions

Steven C. DeCaluwe, Trent Koberna
The Journal of Physical Chemistry C
Advanced Battery Technologies Research
article

Particle Tracking Methods for Battery Precipitation Reactions

Steven C. DeCaluwe, Trent Koberna
article en

Abstract

Precipitation and deposition reactions at solid–liquid interfaces play a key role in a number of battery chemistries, including Li-ion, so-called “anode free” batteries, zinc-based battery chemistries, and lithium–sulfur, among others. Although models with heterogeneous nucleation and growth phenomena are present in the literature, papers have not to date provided much detail on the numerical algorithms used to track the temporal evolution of the particle size distribution of deposits on electrode surfaces. In this paper we examine several approaches to discretize and track the particle size distribution, demonstrating that common approaches lead to anomalous flattening of the particle size distribution. We conclude by presenting an algorithm that preserves the appropriate particle size distribution during particle growth.

The Journal of Physical Chemistry C
Colorado School of Mines (US)
Vehicle Technologies Office
Climate action
Openalex Percentile: Top 9%
Advanced Battery Technologies Research
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