3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon
We propose a machine learning-based technique to address the crystallographic characteristics responsible for the generation of crystal defects. A convolutional neural network was trained with pairs of optical images that display the characteristics of the crystal and photoluminescence images that s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-09-01
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| Series: | APL Machine Learning |
| Online Access: | http://dx.doi.org/10.1063/5.0156044 |