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作者:

Gu, Xiyu (Gu, Xiyu.) | Liu, Yan (Liu, Yan.) | Qu, Yuanhang (Qu, Yuanhang.) | Wei, Min (Wei, Min.) | Chen, Xiang (Chen, Xiang.) | Wang, Yaxin (Wang, Yaxin.) | Liu, Wenjuan (Liu, Wenjuan.) | Pi, Bensong (Pi, Bensong.) | Soon, Bo Woon (Soon, Bo Woon.) | Cai, Yao (Cai, Yao.) | Guo, Shishang (Guo, Shishang.) | Sun, Chengliang (Sun, Chengliang.)

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EI Scopus SCIE

摘要:

With the development of MEMS technology to the nanometer scale, the influence of different process conditions on the performance of nano-devices can be calculated through the microscopic changes of materials. During the manufacturing process, the large residual stress from the film stack significantly influences the performance of devices, thereby reducing the wafer yield. Herein, we apply density functional theory to MEMS processes to reveal the intrinsic mechanism of how residual stress affects the performance of aluminum nitride-based bulk acoustic wave (BAW) resonators on an 8-inch high-resistance silicon wafer. The variation rule of physical properties of piezoelectric material aluminum nitride with different residual stresses is calculated via firstprinciples calculations. Through theory formula derivation, the piezoelectric-coupling constant (K2t ) of the bulk acoustic wave resonator is positively correlated with tensile residual stress, and the resonant frequency (fp, fs) is negatively correlated with tensile residual stress. The measurement results show that the average shifts of K2 eff is 0.12 % within -137 MPa and 183 Mpa residual stress, which is an excellent match with the theory prediction.

关键词:

MEMS Processes Density Functional Theory Resonators Aluminum Nitride-based Bulk Acoustic Wave Residual Stress

作者机构:

  • [ 1 ] [Gu, Xiyu]Wuhan Univ, Sch Phys & Technol, Key Lab Artificial Micro & Nanostruct, Minist Educ, Wuhan 430072, Peoples R China
  • [ 2 ] [Guo, Shishang]Wuhan Univ, Sch Phys & Technol, Key Lab Artificial Micro & Nanostruct, Minist Educ, Wuhan 430072, Peoples R China
  • [ 3 ] [Liu, Yan]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 4 ] [Qu, Yuanhang]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 5 ] [Wei, Min]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 6 ] [Chen, Xiang]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 7 ] [Wang, Yaxin]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 8 ] [Liu, Wenjuan]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 9 ] [Cai, Yao]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 10 ] [Sun, Chengliang]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China
  • [ 11 ] [Liu, Yan]Hubei Yangtze Memory Labs, Wuhan 430072, Peoples R China
  • [ 12 ] [Liu, Wenjuan]Hubei Yangtze Memory Labs, Wuhan 430072, Peoples R China
  • [ 13 ] [Cai, Yao]Hubei Yangtze Memory Labs, Wuhan 430072, Peoples R China
  • [ 14 ] [Guo, Shishang]Hubei Yangtze Memory Labs, Wuhan 430072, Peoples R China
  • [ 15 ] [Sun, Chengliang]Hubei Yangtze Memory Labs, Wuhan 430072, Peoples R China
  • [ 16 ] [Pi, Bensong]Beijing Univ Technol, Mech Engn & Appl Elect Inst Technol, Beijing 100021, Peoples R China
  • [ 17 ] [Soon, Bo Woon]Wuhan Univ, Sch Microelect, Wuhan 430072, Peoples R China

通讯作者信息:

  • [Guo, Shishang]Wuhan Univ, Sch Phys & Technol, Key Lab Artificial Micro & Nanostruct, Minist Educ, Wuhan 430072, Peoples R China;;[Sun, Chengliang]Wuhan Univ, Inst Technol Sci, Wuhan 430072, Peoples R China;;

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来源 :

COMPOSITE STRUCTURES

ISSN: 0263-8223

年份: 2024

卷: 340

6 . 3 0 0

JCR@2022

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SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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