Denso had two patents in connectivity during Q4 2023. Denso Corp filed a patent for a semiconductor device with a quantum dot group that includes multiple layers with different central wavelengths for maximum gains. The layers are stacked in a way that the central wavelengths shift sequentially along the stacking direction. There is a longest wavelength layer group with a longest central wavelength and higher gain compared to other layers. GlobalData’s report on Denso gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Denso grant share with connectivity as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Semiconductor device (Patent ID: US20230327406A1)
The patent filed by Denso Corp describes a semiconductor device with a quantum dot group consisting of multiple quantum dot layers stacked in a way that their central wavelengths sequentially shift along the stacking direction. The quantum dot group includes a longest wavelength layer group with a larger gain at the central wavelength compared to other layers. The quantum dots are made of different materials or have different composition ratios to achieve varying lattice constants and emission wavelengths.
The semiconductor device also includes n-cladding and p-cladding layers, with the longest wavelength layer positioned closest to the p-cladding layer. The quantum dot layers in the longest wavelength layer group have the same wavelength, and the density of quantum dots in these layers is higher than in other layers. Additionally, the patent discusses the positioning of ground and energy levels within the quantum dot layers to optimize performance. The longest wavelength layer group is composed of multiple quantum dot layers, ensuring a larger gain at the wavelength compared to other layers.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
