A convolutional neural network for defect classification in bragg coherent x-ray diffraction

HIGHLIGHTS

• who: Bruce Lim from the (UNIVERSITY) have published the Article: A convolutional neural network for defect classification in Bragg coherent X-ray diffraction, in the Journal: (JOURNAL)
• what: The authors develop and train a 3D convolutional neural_network (CNN), which aims to obtain a fast and precise defect classification in nanocrystals of common face-centered cubic (fcc) transition metals. For this study, the authors focus on line defects, namely, edge and screw dislocations. From an occlusion sensitivity test48 on a simulated CXDP shown in Supplementary Fig 13, the authors demonstrate that the NN mainly uses the . . .
  

   

  

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