Advanced Nanomaterials for Semiconductor Photonics and Their Applications in AI and Sensing

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanophotonics Materials and Devices".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 755

Special Issue Editors


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Guest Editor
School of Chips, XJTLU Entrepreneur College (Taicang), Xi’an Jiaotong-Liverpool University, Taicang, Suzhou 215400, China
Interests: optical logic circuits; semiconductor optical amplifiers; silicon photonics; photonic device integration
Special Issues, Collections and Topics in MDPI journals

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Co-Guest Editor
School of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Taicang, Suzhou 215400, China
Interests: luminescence; nanoparticles; cell labeling; in vivo imaging; temperature sensing; photodynamic therapy; metal ions detection; trace water detection; nanomedicine; sensitizers; CHiPS sensing technology and novel semiconductors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of advanced nanomaterials has unlocked unprecedented opportunities in the fields of semiconductor photonics, artificial intelligence (AI), and sensing technologies. These materials, with their unique optical, electronic, and structural properties, enable the creation of innovative devices that push the boundaries of performance and efficiency. This Special Issue, ’Advanced Nanomaterials for Semiconductor Photonics and their Applications in AI and Sensing’, is dedicated to exploring recent advancements in the design, synthesis, and application of nanomaterials in these rapidly evolving fields.

This Special Issue welcomes contributions that address critical challenges and breakthroughs in areas such as high-speed photonic circuits, AI-enabled optoelectronics, and next-generation sensing technologies. Topics of interest include quantum dots, nanowires, photonic crystals, and two-dimensional materials tailored to photonics and sensing. Research showcasing innovations in material design for enhanced energy efficiency, signal processing, and miniaturized device integration is of particular interest.

We also encourage the submission of papers focusing on the interplay between nanomaterials and AI, highlighting how advanced algorithms and machine learning techniques can optimize the design and application of photonic systems. Studies addressing real-world applications, including smart sensing for healthcare, environmental monitoring, and AI-driven photonic computing, are also welcome.

Through this Special Issue, we aim to bring together researchers and practitioners to discuss state-of-the-art developments and emerging trends in semiconductor nanomaterials. By fostering interdisciplinary collaboration, this Special Issue seeks to advance the understanding and application of nanomaterials in photonics, AI, and sensing, driving technological innovation in this field and its societal impact.

Prof. Dr. Amer Kotb
Prof. Dr. Wei Chen
Guest Editors

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Keywords

  • advanced nanomaterials
  • semiconductor photonics
  • quantum dots
  • artificial intelligence (AI)
  • photonic sensing
  • optoelectronic devices
  • two-dimensional materials
  • photonic crystals
  • AI-driven photonics
  • smart sensors

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Published Papers (1 paper)

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18 pages, 2308 KiB  
Article
High-Speed All-Optical Encoder and Comparator at 120 Gb/s Using a Carrier Reservoir Semiconductor Optical Amplifier
by Amer Kotb and Kyriakos E. Zoiros
Nanomaterials 2025, 15(9), 647; https://doi.org/10.3390/nano15090647 - 24 Apr 2025
Viewed by 149
Abstract
All-optical encoders and comparators are essential components for high-speed optical computing, enabling ultra-fast data processing with minimal latency and low power consumption. This paper presents a numerical analysis of an all-optical encoder and comparator architecture operating at 120 Gb/s, based on carrier reservoir [...] Read more.
All-optical encoders and comparators are essential components for high-speed optical computing, enabling ultra-fast data processing with minimal latency and low power consumption. This paper presents a numerical analysis of an all-optical encoder and comparator architecture operating at 120 Gb/s, based on carrier reservoir semiconductor optical amplifier-assisted Mach–Zehnder interferometers (CR-SOA-MZIs). Building upon our previous work on all-optical arithmetic circuits, this study extends the application of CR-SOA-MZI structures to implement five key logic operations between two input signals (A and B): A¯B, AB¯, AB (AND), A¯B¯ (NOR), and AB + A¯B¯ (XNOR). The performance of these logic gates is evaluated using the quality factor (QF), yielding values of 17.56, 17.04, 19.05, 10.95, and 8.33, respectively. We investigate the impact of critical design parameters on the accuracy and stability of the logic outputs, confirming the feasibility of high-speed operation with robust signal integrity. These results support the viability of CR-SOA-MZI-based configurations for future all-optical logic circuits, offering promising potential for advanced optical computing and next-generation photonic information processing systems. Full article
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