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Updated: Feb 12, 2026

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基于机器学习的实时评估制造偏差导致可拉伸阵列的机械性能变化

Bo Wen1, Han Xu2, Yikang Ding3

  • 1School of Integrated Circuits, Peking University, Beijing, China.

Microsystems & nanoengineering
|February 10, 2026
PubMed
概括

本研究介绍了一种机器学习 (ML) 方法,用于预测柔性电子产品的机械性能. ML方法准确评估可拉伸结构,提高制造的一致性.

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