Study on enhanced real time applications of compound semiconductor (SiC and GaN) power devices with AI and IoT Technologies

B. Prakash Ayyappan, T. Parthiban, M. Barkavi, V. Nithyapoorani, M. Sathya, G. Gopperumdevi
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Abstract

Compound semiconductors, composed of two or more elements, differ from single-element semiconductors like silicon. These materials are crucial because they have a direct band gap, unlike elemental semiconductors such as silicon and germanium, making them ideal for optoelectronic applications like LEDs, semiconductor lasers, and photo detectors. Robots rely on sophisticated sensors to collect vital data for their operation, including internal data on temperature, moisture, movement, and position, as well as external data from images, infrared light, and sound, processed through semiconductor units. Compound semiconductors are integral to numerous technologies around us, including electric cars, solar panels, satellites, spacecraft, and smart phones. Future innovations like driverless cars and artificial intelligence will also heavily depend on these materials.
利用人工智能和物联网技术加强化合物半导体(碳化硅和氮化镓)功率器件的实时应用研究
化合物半导体由两种或两种以上元素组成,与硅等单元素半导体不同。这些材料至关重要,因为它们与硅和锗等元素半导体不同,具有直接的带隙,是 LED、半导体激光器和光探测器等光电应用的理想材料。机器人依靠精密的传感器收集重要的运行数据,包括温度、湿度、运动和位置等内部数据,以及通过半导体单元处理的图像、红外光和声音等外部数据。复合半导体是我们身边众多技术不可或缺的一部分,包括电动汽车、太阳能电池板、卫星、航天器和智能手机。未来的无人驾驶汽车和人工智能等创新技术也将在很大程度上依赖于这些材料。
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