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arXiv 2203.01998cond-mat.mes-hallcs.CV

Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images

Institute of Physics of the Czech Academy of Sciences, v.v.i.(捷克科学院物理研究所);Regional Centre of Advanced Technologies and Materials, Palacký University(帕拉茨基大学先进技术与材料区域中心);RWTH Aachen University(亚琛工业大学)

Jack Hellerstedt, Aleš Cahlík, Martin Švec, Oleksandr Stetsovych, Tyler Hennen

英文摘要:

Scanning tunneling and atomic force microscopies (STM/nc-AFM) are rapidly progressing to offer unprecedented spatial resolution of a diverse array of chemical species. In particular, they are employed to characterize on-surface chemical reactions by directly examining precursors and products. Chiral effects and self-assembled structures can also be investigated. This open source, modular, python based scheme automates the categorization of a variety of molecules present in medium sized (10$\times$10 to 100$\times$100 nm) scanned probe images.

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