... to a 2D-powder diffraction pattern (simple and easy to work with). The STEMDIFF package is a key part of our 4D-STEM/PNBD method, Version 1.0 = Matlab: just a ...
This project presents a deep learning approach for identifying material phases using X-ray diffractograms (XRD) images. Leveraging the power of the VGG16 convolutional neural network, the model ...
The precise characterisation of the instrumental imaging properties in the form of aberration parameters constitutes an almost universal necessity in quantitative HRTEM, and is underlying most ...
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