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    Home - Technology & Gadgets - TSMC discloses N2 defect density — lower than N3 at the same stage of development
    Technology & Gadgets

    TSMC discloses N2 defect density — lower than N3 at the same stage of development

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    TSMC discloses N2 defect density — lower than N3 at the same stage of development
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    TSMC exposed the defect density (D0) of its N2 process technology relative to its predecessors at the same stage of development at its North American Technology Symposium this week. According to the company, the defect density is below that of N3, N5, and N7 manufacturing nodes. In addition, the slide published by ComputerBase reveals that N2 is two quarters away from mass production, which means that TSMC is on-track to start making 2nm-class chips in late Q4 2025, as expected.

    Although TSMC’s N2 is the company’s first process technology to adopt gate-all-around (GAA) nanosheet transistors, the node has lower defect density than its predecessors at the same stage of development, two quarters before mass production (MP). The predecessors — N3/N3P, N5/N4, and N7/N6 — all relied on well-known FinFET transistors. So, despite being TSMC’s first node using GAA nanosheet transistors, the N2 defect density is getting lower quicker (well, steeper) than that of its predecessors before the high volume manufacturing (HVM) milestone.

    (Image credit: Data by TSMC, re-drawn by DALL-E/Chat-GPT)

    The chart plots defect density against time, spanning from three quarters before mass production through six quarters after MP. Across all nodes shown — N7/N6 (green), N5/N4 (violet), N3/N3P (red), and N2 (blue) — defect densities drop significantly as production ramps, though at different rates depending on node complexity. Notably, N5/N4 displayed the most aggressive early defect reduction, while N7/N6 showed a more gradual yield improvement. The N2 curve begins with higher initial defect levels than N5/N4 but declines sharply, closely matching the defect reduction trajectory of N3/N3P.


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    The slide emphasizes that production volume and product diversity remain the key drivers for accelerating defect density improvements. Larger production volumes and a wide variety of products using the same process enable faster identification and correction of defect density and yield issues, enabling TSMC to optimize defect learning cycles. TSMC stated that its N2 fabrication technology got more new tape outs than predecessors (as TSMC now risks producing N2 chips for smartphone and HPC customers), so the defect density decrease curve mostly proves that.

    The fact that N2’s defect reduction rate aligns well with previous FinFET-based nodes is particularly significant, given the risk factors associated with introducing an all-new transistor architecture. It suggests that TSMC has successfully transferred its process learning and defect management expertise into the new GAAFET era without major setbacks (at least based on what TSMC discloses).

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