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