X-Ray Diffraction (XRD)

2 papers with code • 0 benchmarks • 0 datasets

Diffraction of X-ray patterns and images, with common applications for materials and images.

Datasets


Greatest papers with code

Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks

PV-Lab/autoXRD npj Computational Materials 2019

We overcome the scarce data problem intrinsic to novel materials development by coupling a supervised machine learning approach with a model-agnostic, physics-informed data augmentation strategy using simulated data from the Inorganic Crystal Structure Database (ICSD) and experimental data.

Data Augmentation General Classification +6

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

PV-Lab/AUTO-XRD 20 Nov 2018

X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials.

Data Augmentation General Classification +2