• views: 89
• date: 3 October 2026
• posted by: book24h

This book provides a systematic overview of the current state of technologies and future prospectives on harnessing light for sustainable energy and advanced sensing applications. It covers the advancements in photonics and trends in photocatalysis, photovoltaics, photonic nanogenerators, quantum sensors, and integrated artificial intelligence and machine learning in optical sensors.
Advanced Photonic Devices for Energy and Sensing Applications covers emerging trends in optics and photonics for sustainable energy and next-generation sensing. The book is divided into two different sections; the first one focuses on the recent developments and prospects of utilizing photonics for energy applications such as solar cells, photovoltaics, and photocatalysis. The latter section is devoted to advanced topics on optical sensor technology including plasmonics-based sensors, WaveFlex sensors, quantum sensing technologies, and artificial intelligence applica-tions for developing real-world sensors. The key areas of the book include an examination and discussion of surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), photonic metamaterials (PMMs), lossy mode resonance (LMR), and WaveFlex-based technologies to develop a variety of sensors like biosensors and explosive detection.
The book aims to serve as both a reference and a source of inspiration for students, researchers and industry professionals in electrical and chemical engineering and materials science and engineering who are interested in the transformative power of light for a variety of applications






   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.