MIT researchers use AI to uncover atomic defects in materials

MIT researchers have developed an AI model that uses neutron-scattering data to classify and quantify six types of atomic defects simultaneously in semiconductor materials. This breakthrough allows for non-destructive defect analysis, crucial for improving material performance in products like semiconductors and solar cells. The technique could pave the way for more precise defect control in manufacturing processes.

Read the full article at MIT News - Machine learning

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