The invention discloses an
atomic element type identification method and related equipment, and relates to the technical field of
artificial intelligence and
machine learning, and the method comprises the steps: obtaining an initial three-dimensional image of a nanometer material based on an
atomic resolution electronic three-dimensional reconstruction technology, carrying out the
noise reduction operation of the three-dimensional image through employing a preset three-dimensional global-local residual error U-shaped network, and carrying out the recognition of the
atomic element type. The method comprises the steps of obtaining a target three-dimensional image, determining three-dimensional
atomic coordinates and a 3D Zernike expansion coefficient corresponding to the target three-dimensional image, and
processing the three-dimensional
atomic coordinates and the 3D Zernike expansion coefficient based on a preset DAST
network model to obtain an
atomic element type recognition result corresponding to the nanometer material. On the basis of the GLARE neural network, overall affine transformation operation is carried out on the initial three-dimensional image, the problems of reconstruction volume
distortion and the like caused by overall alignment errors are avoided, the accurate and denoised target three-dimensional image is generated, and furthermore, the atomic element type is accurately recognized in combination with the preset DAST
network model.