Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

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予約

Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

Kuchhal, Piyush (EDT)/ Kumar, Deepak (EDT)/ Kumar Pachauri, Rupendra (EDT)

ウェブストア価格 ¥28,976（本体¥26,342）
CRC Press（2025/10発売）
外貨定価 US$ 140.00
ポイント 263pt

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製本 Hardcover:ハードカバー版／ページ数 320 p.
言語 ENG
商品コード 9781032857145

Full Description

This book provides insights into emerging semiconductor device technology, challenges, and solutions for harnessing solar power to produce sustainable energy and meet the escalating demand for electricity generation.

Revolutionizing Solar Energy Harvesting: Advanced Semiconductor Devices and Technology with AI-ML Integration provides desired exposure to the ever-growing field of semiconductor electronic devices and technologies to produce power by harnessing the solar energy. The authors highlight the role of semiconductors and the process technologies to meet global energy demand. They also explore international policies and standards for harnessing solar power. The authors then discuss the impact of semiconductor materials and architecture designs on photovoltaic performance. Finally, the authors then discuss manufacturing and selection of materials using AI-ML techniques and emphasize enhancing the production of defect-free semiconductor materials by employing AI-ML techniques.

The book is intended for researcher professionals in the field of nanomaterials and semiconductor devices for harnessing solar power codesign issues, as well as UG/PG students within Electronics or Electrical Engineering programs.

Chapter 1- An overview of AI-ML powered systems with computer vision for wafer inspections for solar cells Applications Chapter 2- Introduction to Characterization and Fabrication Techniques Employed for Advanced Solar Cell Structures Chapter 3- Global penetration and recent developments in semiconductor devices for solar harvesting: A review Chapter 4- Using Artificial Intelligence and Computer Vision for Solar Cell Wafer Inspection Chapter 5- Introduction to Characterization and Fabrication Techniques Employed for Advanced Solar cell structures Chapter 6- AI-ML powered systems with computer vision for wafer inspections of solar cells: Technological Scenario, Implementation, Advantages and Challenges Chapter 7- Principles, Methods, and Industrial Applications of Perovskite Silicon Tandem Solar Cell Chapter 8- Enhancing Solar Cell Defect Detection through a Generalized Hybrid Transfer learning model synergized with machine learning classifier Chapter 9- Printable Solar Cells - Advancing Flexible and Sustainable Energy Solutions