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A computer implemented method for identifying a molecule from atomic force microscopy images and generating the name of said molecule according to the iupac nomenclature
202230398
The invention relates to a computer implemented method for identifying a molecule from Atomic Force Microscopy images and generating the name of the molecule according to the IUPAC nomenclature using two trained Multimodal Recurrent Neural Networks. Furthermore, the present invention refers to the system configured to carry out the steps of said method. The present invention is therefore of interest in the area of nanotechnology, particularly in areas related to on-surface chemical reactions and therefore of interest for the Atomic Force Microscopy users and manufacters.
There is a needed to develop new methods for achieving a complete molecular identification (structure and composition) through atomic force microscopy imaging, including non-planar structures. The invention refers to a computer implemented method for identifying a molecule from atomic force microscopy images by generating the name of said molecule accordint to the IUPAC nomenclature using a combination of two different trained Multimodal Recurrent Neuronal Networks. Therefore, the oject of the invention is to provide a text (the name of the molecule accordint to IUPAC nomenclature) describing an image (acquired plurality of FM-AFM images).