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Duke University's Harry Wang: 2D Semiconductors Stuck on Yield, AI Taking Over the ...
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Fusion42 · 27 October 2026 · Fusion42 review
Duke University's Harry Wang highlights the yield challenges in commercializing 2D semiconductors like MoS₂, where fabrication defects reduce performance. His team uses AI-driven microscopy and literature analysis to improve yield by about 30% on defective materials, proposing a new AI-native manufacturing approach that could alter capital expenditure and workforce structure in semiconductor fabs.
This Wire brief sits within Fusion42's coverage of Semiconductors.
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You must now think beyond traditional defect inspection in chip making. AI is transforming yield engineering for 2D semiconductors, opening chances to disrupt fabs controlling costs and quality with new automation.
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1 source · 27 Oct 2026
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