Molecular Identification via Molecular Fingerprint extraction from Atomic Force Microscopy images

arXiv:2405.04321v1 Announce Type: cross
Abstract: Non--Contact Atomic Force Microscopy with CO--functionalized metal tips (referred to as HR-AFM) provides access to the internal structure of individual molecules adsorbed on a surface with totally unprecedented resolution. Previous works have shown that deep learning (DL) models can retrieve the chemical and structural information encoded in a 3D stack of constant-height HR--AFM images, leading to molecular identification. In this work, we overcome their limitations by using a well-established description of the molecular structure in …

abstract access arxiv cond-mat.mtrl-sci cs.lg deep learning extraction identification images metal microscopy molecules resolution surface tips type via