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February 14, 2026Advanced ScienceOpen Access

AP‐Lab: An AI‐Driven Autonomous Pilot‐Scale Platform Bridging Materials Discovery and Industrial Manufacturing

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Authors

ZWZhan‐Long WangZMZhifen MaWSWenxing Song

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Overview

AI-driven platform optimizes nucleic acids extraction in industrial settings, suggesting faster production timelines.

Key Points

  • The aim is to develop a platform that connects materials discovery to industrial manufacturing using AI.
  • Developed the AP-Lab for materials discovery and manufacturing integration.
  • Utilized magnetic nanoparticles for nucleic acids extraction as a case study.
  • Designed four agent-controlled systems for interaction, optimization, and data management.
  • Adopted Polymerase Chain Reaction cycle threshold values for application-specific benchmarks.
  • Achieved rapid optimization of MNPs-based nucleic acids extraction in three weeks.
  • Enabled scale-up manufacturing of 1 million tests per batch within two months.
  • Reduced development timelines from four to six months to three weeks.
  • Delivered superior performance compared to leading commercial products.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/699011602ccff479cfe58081https://doi.org/10.1002/advs.74293
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