Qualcomm had 19 patents in advanced materials during Q4 2023. Qualcomm Inc filed patents in Q4 2023 for innovative transducer designs, touch sensor systems, surface-acoustic-wave filters, and microacoustic filters. These inventions involve utilizing piezoelectric and dielectric materials to enhance sensor performance and improve user experience. The patents also include a unique microphone design with optimized dimensions for resonant frequency and acoustic compliance. GlobalData’s report on Qualcomm gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Qualcomm grant share with advanced materials as a theme is 31% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Mems process power (Patent ID: US20230422623A1)
The patent filed by Qualcomm Inc. describes a transducer with two piezoelectric layers, where the second layer is more compressive than the first layer, helping to reduce deflection in the transducer. The method of manufacturing involves fabricating the two layers, with the first layer having a non-uniform residual stress that becomes more tensile or compressive as its thickness increases, while the second layer has an average residual stress that compensates for the stress in the first layer.
The fabrication process may include adjusting bias power or gas flow rate to achieve the desired residual stress in the second piezoelectric layer. Additionally, a third intervening layer, such as molybdenum, may be included between the two piezoelectric layers. The transducer can be used in various applications like MEMS transducers, acoustic transducers, piezoelectric transducers, or microphones, with the goal of maintaining the flatness of the layers to minimize curvature or deflection. The patent also covers variations in materials, stress levels, and configurations of the piezoelectric layers to optimize the performance of the transducer.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
