Prediction and Elucidation of Physical Properties of Polycrystalline Materials Using Multichannel Machine Learning of Electron Backscattering Diffraction
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DOI: 10.1002/aelm.202300875
Abstract: The application of machine learning in materials science has yielded several benefits, including the prediction of physical properties and the improvement of experimental efficiency. However, with complex models, such as convolutional neural networks (CNN), learning… read more here.
Keywords: backscattering diffraction; machine learning; electron backscattering; prediction ... See more keywords