Titel
Automated real-space lattice extraction for atomic force microscopy images
Igor Sokolović
Institute of Applied Physics, TU Wien
... show all
Abstract
Analyzing atomically resolved images is a time-consuming process requiring solid experience and substantial human intervention. In addition, the acquired images contain a large amount of information such as crystal structure, presence and distribution of defects, and formation of domains, which need to be resolved to understand a material's surface structure. Therefore, machine learning techniques have been applied in scanning probe and electron microscopies during the last years, aiming for automatized and efficient image analysis. This work introduces a free and open source tool (AiSurf: Automated Identification of Surface Images) developed to inspect atomically resolved images via scale-invariant feature transform and clustering algorithms. AiSurf extracts primitive lattice vectors, unit cells, and structural distortions from the original image, with no pre-assumption on the lattice and minimal user intervention. The method is applied to various atomically resolved non-contact atomic force microscopy images of selected surfaces with different levels of complexity: anatase TiO2(101), oxygen deficient rutile TiO2(110) with and without CO adsorbates, SrTiO3(001) with Sr vacancies and graphene with C vacancies. The code delivers excellent results and is tested against atom misclassification and artifacts, thereby facilitating the interpretation of scanning probe microscopy images.
Stichwort
machine learningclustering algorithmunsupervised learningcomputer visionatomic force microscopyscanning probe microscopysurface science
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
phaidra.univie.ac.at/o:1936343
Erschienen in
Titel
Machine Learning: Science and Technology
Band
4
Ausgabe
1
ISSN
2632-2153
Erscheinungsdatum
2023
Publication
IOP Publishing
Fördergeber
Erscheinungsdatum
2023
Zugänglichkeit
Rechte
Rechteangabe
© 2023 The Author(s)
Universität Wien | Universitätsring 1 | 1010 Wien | T
+43-1-4277-0