Machine learning helps track semiconductor defects under more realistic temperature conditions
Image: Phys.org
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- All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce certain properties into a material. However, it is crucial to understand how they function and how they affect the material's properties.