Recent Progress in Nanophotonics for Green Energy, Medicine, Healthcare, and Optical Computing Applications

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Authors: Osama M. Halawa, Esraa Ahmed, M.M. Abdelrazek, Yasser M Nagy, Omar A. M. Abdelraouf
Cited by: 4
References: 259

Abstract

Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transformative advancements across diverse sectors, including green energy, biomedicine, and optical computing. This review comprehensively examines recent progress in nanophotonic principles and applications, highlighting key innovations in material design, device engineering, and system integration. In renewable energy, nanophotonics allows the use of light-trapping nanostructures and spectral control in perovskite solar cells, concentrating solar power systems, and thermophotovoltaics. This has significantly enhanced solar conversion efficiencies, approaching theoretical limits. In biosensing, nanophotonic platforms achieve unprecedented sensitivity in detecting biomolecules, pathogens, and pollutants, enabling real-time diagnostics and environmental monitoring. Medical applications leverage tailored light-matter interactions for precision photothermal therapy, image-guided surgery, and early disease detection. Furthermore, nanophotonics underpins next-generation optical neural networks and neuromorphic computing, offering ultrafast, energy-efficient alternatives to von Neumann architectures. Despite rapid growth, challenges in scalability, fabrication costs, and material stability persist. Future advancements will rely on novel materials, AI-driven design optimization, and multidisciplinary approaches to enable scalable, low-cost deployment. This review summarizes recent progress and highlights future trends, including novel material systems, multidisciplinary approaches, and enhanced computational capabilities, paving the way for transformative applications in this rapidly evolving field.

Fields of Study & Subjects

Nanowire Synthesis and Applications Solar-Powered Water Purification Methods Photoreceptor and optogenetics research

Publication details

Journal / source
Materials
Publisher
MDPI AG
Volume
19
Issue
8
Pages
1660–1660
Publication date
21 April 2026
Language
EN