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The application of SPP has created possibilities for the size of photonics devices compared to the operating wavelength. However, SPP has severe Ohmic attenuation and significant optical insertion loss, resulting in limited optical signal transmission distance. To eliminate the above situation, we used a silicon waveguide with hybrid mode SPP, and provide relevant theoretical and analysis. Hybrid SPP silicon waveguides, and then provide design methods for electro-optic hybrid half adders, full adders, subtractors, and multiplications based on SPP, and provide detailed discussions and…mehr

Produktbeschreibung
The application of SPP has created possibilities for the size of photonics devices compared to the operating wavelength. However, SPP has severe Ohmic attenuation and significant optical insertion loss, resulting in limited optical signal transmission distance. To eliminate the above situation, we used a silicon waveguide with hybrid mode SPP, and provide relevant theoretical and analysis. Hybrid SPP silicon waveguides, and then provide design methods for electro-optic hybrid half adders, full adders, subtractors, and multiplications based on SPP, and provide detailed discussions and verifications in this book. Finally, the design and research of temperature sensors for on-chip networks were also involved. The mode of electro-optic hybrid computing not only utilizes the advantages of high-frequency operation, electromagnetic immunity, and low power consumption in optics, but also takes advantage of the ease of storage in electrical engineering. The technical solutions and experimental results described in this book, which provide theoretical and practical references for the implementation of electro-optic hybrid computing.
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Autorenporträt
Liang Zhixun, An Associate Professor at Hechi University, received his doctor degree in Engineering from Guilin University of Electronic Technology. His main research interest is in the application research of IoT, and the conducting exploratory research on optical on-chip networks and their high performance computing.