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About Machine Learning Dislocation
This document discusses using machine learning to classify dislocation structures from molecular dynamics simulations. It presents extracting dislocation segments and connected structures from simulation data using the Dislocation Extraction Algorithm. The goal is to classify structures as stacking fault tetrahedra or not. It considers representing the 3D geometry as point clouds and using deep learning methods like PointNet for classification. The work plan is to decide on a descriptor, test machine learning methods, and preprocess the simulation data.
Detailed Information
| Author: | ['Terence Deng'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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