Revolutionizing Solar Energy Harvesting
Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 29 September 2025
- ISBN 9781032857145
- Binding Hardback
- No. of pages302 pages
- Size 234x156 mm
- Weight 720 g
- Language English
- Illustrations 99 Illustrations, black & white; 22 Illustrations, color; 7 Halftones, black & white; 1 Halftones, color; 92 Line drawings, black & white; 21 Line drawings, color; 48 Tables, black & white 699
Categories
Short 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.
MoreLong 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 provides desired exposure to the ever-growing field of semiconductor electronic devices and technologies to produce power by harnessing solar energy. The authors highlight the role of semiconductors and the process technologies in meeting 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 artificial intelligence (AI)–machine learning (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 undergraduate/postgraduate students within Electronics or Electrical Engineering programs.
MoreTable of Contents:
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
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