Convolution of the physical point cloud for predicting the self-assembly of colloidal particles

This paper presents a novel algorithm for predicting the kinetic and thermodynamic pathways of colloidal systems. The approach involves constructing a physical point cloud from inter-particle stress information extracted from randomly distributed colloidal particles and embedding it into a graph con...

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Bibliographic Details
Main Authors: Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Results in Physics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2211379725001901
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