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Fabrication of Uniform Nanoscale Cavities via Silicon Direct Wafer Bonding
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A novel method to detect wafer-bonding energy using function fitting.

Jianhan Fan1, Kaiming Yang2, Yu Zhu3

  • 1College of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 610036, China.

The Review of Scientific Instruments
|January 1, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new function fitting method to accurately measure wafer bonding energy by improving crack length identification. This technique enhances precision in semiconductor manufacturing quality control.

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Area of Science:

  • Materials Science
  • Semiconductor Manufacturing
  • Metrology

Background:

  • Bonding energy is critical for assessing bonded wafer quality in semiconductor fabrication.
  • The conventional crack opening method, while standard, suffers from resolution limitations and significant crack length reading errors.
  • Existing infrared imaging techniques for wafer inspection present challenges in accuracy.

Purpose of the Study:

  • To address the limitations of current methods for measuring wafer bonding energy.
  • To develop a more accurate and adaptable crack length identification technique.
  • To improve the quality control of bonded wafers in the semiconductor industry.

Main Methods:

  • Improvement upon conventional image processing techniques.
  • Proposal of a novel crack length identification method utilizing function fitting.
  • Experimental verification of the proposed method's effectiveness and feasibility.

Main Results:

  • The function fitting method significantly reduces reading errors in crack length measurement.
  • The proposed technique offers improved adaptability compared to traditional methods.
  • Experimental validation confirms the method's practical utility.

Conclusions:

  • The function fitting-based crack length identification method offers a superior alternative for measuring wafer bonding energy.
  • This advancement enhances the precision and reliability of quality assessment in semiconductor manufacturing.
  • The study demonstrates a feasible and effective solution to overcome existing measurement challenges.