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Preparation of Janus Particles and Alternating Current Electrokinetic Measurements with a Rapidly Fabricated Indium Tin Oxide Electrode Array

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Predicting magnetic Janus particle assembly with differential evolution algorithm.

Eric A McPherson¹, Kenneth Kroenlein², Ilona Kretzschmar¹

¹Department of Chemical Engineering, The City College of New York, CUNY, New York, New York 10031, USA.

The Journal of Chemical Physics

|July 10, 2025

Summary

This summary is machine-generated.

A new differential evolution (DE) simulation method predicts magnetic Janus particle assembly, offering an efficient alternative to experimental trial and error for designing novel magnetorheological fluids.

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Area of Science:

Materials Science
Physics
Computational Chemistry

Background:

Magnetic Janus particles enable complex structures for advanced magnetorheological fluids.
Exploring the vast parameter space of these particles is challenging via traditional methods.

Purpose of the Study:

To introduce and validate a differential evolution (DE)-based simulation for predicting magnetic Janus particle assembly.
To assess the DE simulation's accuracy against experimental and simulation data.

Main Methods:

Utilized a differential evolution (DE) algorithm to simulate magnetic Janus particle assembly.
Employed the point dipole approximation for magnetic interactions.
Compared simulation predictions with four published case studies.

Main Results:

The DE simulation accurately predicted particle orientation and structure for various shifts and field conditions.
The method showed favorable agreement with three out of four benchmark studies.
DE predictions were less accurate for structures involving large-scale cluster reorganization.

Conclusions:

Differential evolution simulation is a viable tool for predicting magnetic Janus particle assembly structures.
This method can accelerate the design of novel magnetorheological fluids with tailored properties.