A paper on extracting adsorbate-adsorbate interactions from STM images using persistent homology and autocorrelation analysis has been published in J. Phys. Chem. C.
A paper on extracting adsorbate-adsorbate interactions from STM images using persistent homology and autocorrelation analysis has been published in J. Phys. Chem. C.
This is a collaborative research achievement with Associate Prof. Min Gao from ICReDD, Assistant Prof. Daiki Kido and Prof. Masao Kimura from KEK IMSS, and Prof. Kiyotaka Asakura from Ritsumeikan University.
This is the first example of applying persistent homology to height information from STM images.
“Deciphering Adsorbate-Adsorbate Interactions from Scanning Tunneling Microscopy Images: Integrated Topological Statistical, and First-Principles Analysis of Methoxy Adsorbates on Pt/TiO2(110)”
Can Liu, Min Gao, Daiki Kido, Masao Kimura, Kiyotaka Asakura, Bang Lu, Kotaro Takeyasu, Satoru Takakusagi