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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

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

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

B. Prakash Ayyappan 1, *, T. Parthiban 1, M. Barkavi 1, V. Nithyapoorani 2, M. Sathya 2 and G. Gopperumdevi 2

1 Department of EEE, Sri Bharathi Engineering College for Women, Kaikkurichi, Pudukkottai-622 303, Tamil Nadu, India.
2 Department. of ECE, Sri Bharathi Engineering College for Women, Kaikkurichi, Pudukkottai-622 303. Tamil Nadu, India.

Review Article
 
International Journal of Science and Research Archive, 2024, 12(02), 947–964.
Article DOI: 10.30574/ijsra.2024.12.2.1309
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1309

Received on 09 June 2024; revised on 16 July 2024; accepted on 19 July 2024

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.

Silicon Carbide; Gallium Nitride; Artificial Intelligence; Internet of Things; Emerging Technologies

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1309.pdf

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B. Prakash Ayyappan, T. Parthiban, M. Barkavi, V. Nithyapoorani, M. Sathya and G. Gopperumdevi. Study on enhanced real time applications of compound semiconductor (SiC and GaN) power devices with AI and IoT Technologies. International Journal of Science and Research Archive, 2024, 12(02), 947–964. Article DOI: https://doi.org/10.30574/ijsra.2024.12.2.1309

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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