Morphological Analysis of Semiconductor Microstructures using Skeleton Graphs
In this paper, electron microscopy images of microstructures formed on Ge surfaces by ion beam irradiation were processed to extract topological features as skeleton graphs, which were then embedded using a graph convolutional network. The resulting embeddings were analyzed using principal component analysis, and cluster separability in the resulting PCA space was evaluated using the Davies-Bouldin index. The results indicate that variations in irradiation angle have a more significant impact on the morphological properties of Ge surfaces than variations in irradiation fluence.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Skeletonization and Reconstruction based on Graph Morphological Transformations
Multiscale shape skeletonization on pixel adjacency graphs is an advanced intriguing research subject in the field of image processing, computer vision and data mining. The previous works in this area almost focused on t…
Open-Ended Question AnsweringSparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
Characterizing materials with electron micrographs poses significant challenges for automated labeling due to the complex nature of nanomaterial structures. To address this, we introduce a fully automated, end-to-end pip…
In-Context LearningQuestion AnsweringVisual Question AnsweringVisual Question Answering (VQA)Deep Learning-Driven Prediction of Microstructure Evolution via Latent Space Interpolation
Phase-field models accurately simulate microstructure evolution, but their dependence on solving complex differential equations makes them computationally expensive. This work achieves a significant acceleration via a no…
CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water Corals
Herein, we present CoDA, the Coral Dendroid structure Analyzer, a visual analytics suite that allows for the first time to investigate the ontogenetic morphological development of complex dendroid coral colonies, exempli…
Instance SegmentationInteractive SegmentationMorphological AnalysisSemantic SegmentationMatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model
Efficient and accurate extraction of microstructures in micrographs of materials is essential in process optimization and the exploration of structure-property relationships. Deep learning-based image segmentation techni…
Image SegmentationPrompt EngineeringSegmentationSemantic Segmentation+2