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April 7, 20260 citationsOpen Access

A Defect-Tolerant Nano-Manufacturing Framework for Ultra-Low-Cost Functional Computing: Integrating Nanoimprint Lithography, Directed Self-Assembly, and Hardware–Software Co-Design

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SYSeojun Yoon

Key Points

  • The research aims to create a defect-tolerant framework for nanoscale computing, optimizing functional yield through advanced techniques.
  • Developed a cross-layer framework for defect-tolerant computing.
  • Integrated nanoimprint lithography and directed self-assembly for fabrication.
  • Utilized memristive crossbar arrays to enhance functionality.
  • Implemented architectural redundancy and adaptive routing for defect management.
  • Explored software-level recovery mechanisms.
  • Proposed methods allow for higher physical defectivity in manufacturing while maintaining functional recoverability.
  • Architectural redundancy significantly improves computing performance despite defects.
  • Demonstrated economic benefits of adopting functional yield optimization over strict physical yield metrics.

Abstract

This preprint presents a cross-layer framework for defect-tolerant nanoscale computing based on NIL–DSA-enabled fabrication, 1S1R memristive crossbar arrays, and recoverability-aware system design. Rather than treating manufacturing defects solely as yield loss, the work proposes a shift from physical yield optimization to functional yield optimization through architectural redundancy, defect mapping, adaptive routing, and software-level recovery. The manuscript further discusses the potential economic implications of this approach, including the possibility that higher physical defectivity may remain acceptable if functional recoverability is sufficiently high. This work is intended as a framework-level research contribution and conceptual foundation for future fabrication, benchmarking, and validation studies.

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Cite This Study

Seojun Yoon (2026) studied this question.

synapsesocial.com/papers/69d49f8ab33cc4c35a22807ahttps://doi.org/10.5281/zenodo.19425532
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