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公开(公告)号:US20240088869A1
公开(公告)日:2024-03-14
申请号:US18274236
申请日:2021-10-31
Applicant: SOUTH CHINA UNIVERSITY OF TECHNOLOGY
Inventor: Guoqiang LI , Tielin ZHANG , Hongbin LIU , Xinyan YI , Lishuai ZHAO , Peidong OUYANG
CPC classification number: H03H9/173 , H03H3/02 , H03H9/02031 , H03H9/178 , H03H2003/021 , H03H2009/02204
Abstract: A frequency-tunable film bulk acoustic resonator and a preparation method therefor are provided. The resonator includes a substrate, an air gap, a sandwiched structure formed by electrodes and piezoelectric layers, and an electrode lead-out layer, wherein the substrate is connected to the sandwiched structure formed by the electrodes and the piezoelectric layers, and a connection face of the substrate and the sandwiched structure formed by the electrodes and the piezoelectric layers is recessed towards inside of the substrate to form the air gap; and the electrode lead-out layer is connected to the sandwiched structure formed by the electrodes and the piezoelectric layers. The sandwiched structure formed by the electrodes and the piezoelectric layers includes a bottom electrode, piezoelectric layers, intermediate electrodes, and a top electrode, wherein the electrodes and the piezoelectric layers are alternately arranged to form the sandwiched structure.
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公开(公告)号:US20250096764A1
公开(公告)日:2025-03-20
申请号:US18580179
申请日:2023-10-31
Applicant: SOUTH CHINA UNIVERSITY OF TECHNOLOGY
Inventor: Guoqiang LI , Han HU , Chenyang LI , Tianyou LUO , Peidong OUYANG
IPC: H03H3/02 , G06F30/22 , G06F111/04
Abstract: A Kriging model-based optimal design method and device for a bulk acoustic resonator, and a storage medium are provided. The Kriging model-based optimal design method includes: determining a structure and a material of a resonator, establishing a corresponding MASON model, and performing one-dimensional simulation on the MASON model to obtain a simulation result; determining, based on the simulation result, a design variable for optimizing the resonator, and constructing a Kriging surrogate model; determining an optimization goal, constructing an optimization problem model based on the optimization goal and the Kriging surrogate model, and solving the optimization problem model to obtain an optimal solution; and reducing upper and lower limits of the design variable to improve optimization accuracy. The Kriging model-based optimal design method can predict a performance indicator of an unknown region based on a data characteristic of an existing variable, thereby saving a time cost of actually preparing a device.
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