Image processing-based domain-matching simulation for heteroepitaxy
Takamitsu Ishiyama, Takashi Suemasu, and Kaoru Toko

TL;DR
This paper introduces an image processing algorithm for rapid simulation of heteroepitaxial relationships, enabling efficient analysis of domain matching patterns in functional thin films on substrates.
Contribution
The study presents a novel image processing-based algorithm that automates and accelerates the simulation of heteroepitaxial domain matching, enhancing materials informatics research.
Findings
Rapid verification of domain matching patterns
Analysis of mismatch, matching period, and density
Streamlining heteroepitaxy research processes
Abstract
Heteroepitaxy of functional thin films on single-crystal substrates is one of the most general themes in electronic materials research. Here, we propose an algorithm based on image processing for the rapid simulation of heteroepitaxial relationships. The superposition and rotation of various lattice plane images of the film and substrate, which were automatically generated from the crystal structure, rapidly verified all domain matching patterns. Furthermore, the comprehensive validation allowed us to discuss domain matching from multiple perspectives, such as mismatch, matching period, and density of matching lattice points. Therefore, the proposed algorithm will contribute to materials informatics, streamlining a wide range of materials research for functional thin films.
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Taxonomy
TopicsMachine Learning in Materials Science · Advanced Neural Network Applications · Machine Learning and ELM
