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A COMPUTER IMPLEMENTED METHOD FOR IDENTIFYING A ORGANIC MOLECULE FROM ATOMIC FORCE MICROSCOPY IMAGES BY GENERATING A 2D COLORED RGB STRUCTURAL REPRESENTATION OF SAID MOLECULE IN THE FORM OF A BALL- AND-STICK DEPICTION
202230396
The invention relates to a computer implemented method for identifying an organic molecule from Atomic Force Microscopy (AFM) images and generating a 2D colored RGB structural representation of said organic molecule, particularly a two- dimensional colored RGB structural representation in the form of a ball-an-stick depiction of the atoms and the distance between said atoms using a trained Conditional Generative ADversarial Network (CGAN). The present invention is therefore of interest in the areas of nanotechnology, particularly in areas related to on-surface chemical reactions, and therefore of interest for the AFM users and manufacturers.
The invention relates to a computer implemented method for identifying an organic molecule from Atomic Force Microscopy (AFM) images by generating a 2D colored RGB structural representation of said organic molecule in the form of a ball-and-stick depiction by means of a trained Conditional Generative Adversarial Network (CGAN). The invention is therfore of interest in the areas of nanotechnology, particularly in areas related to on-surface chemical reactions, and therefore of interest for the AFM users and manufacturers.