Neural network based classification of crystal symmetries from x-ray diffraction patterns
Neural network based classification of crystal symmetries from x-ray diffraction patterns
Machine learning algorithms based on artificial neural networks have proven very useful for a variety of classification problems. Here we apply them to a well-known problem in crystallography, namely the classification of X-ray diffraction patterns (XRD) of inorganic powder specimens by the respective crystal system and space group. Over 100 …