May 17, 2019 · We propose a machine learning-enabled approach to predict crystallographic dimensionality and space group from a limited number of thin-film XRD ...

Nov 20, 2018 · Title:Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks ; Subjects: Data ...

After testing various algorithms, we develop and implement an all convolutional neural network, with cross-validated accuracies for dimensionality and space ...

Nov 20, 2018 · We propose a machine-learning-enabled approach to predict crystallographic dimensionality and space group from a limited number of experimental ...

A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns · Materials Science, Chemistry. Nature ...

Title: Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks. Journal Article · Fri May ...

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks · Felipe Oviedo, Zekun Ren, +9 authors

We propose a machine-learning-enabled approach to predict crystallographic dimensionality and space group from a limited number of experimental thin-film XRD ...

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks ... Authors: Felipe Oviedo; Zekun Ren ...

Dec 4, 2023 · Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks. npj Comput ...