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Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy. @Physics

Create: 2025-06-05 Update: 2025-07-22 09:59:08

Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy.

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Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy.

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​​Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy.

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Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy.