Novel Electromagnetic/Nanophotonic Devices: Designs and Optimizations

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D:Materials and Processing".

Deadline for manuscript submissions: closed (30 April 2026) | Viewed by 964

Special Issue Editor


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Guest Editor
1. Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea
2. Department of Artificial Intelligence, Hanyang University, Seoul 04763, Republic of Korea
Interests: electromagnetics; metamaterials; antenna; optics; photonics
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Special Issue Information

Dear Colleagues,

This Special Issue of Micromachines entitled “Novel Electromagnetic/Nanophotonic Devices: Designs and Optimizations” is dedicated to cutting-edge research on electromagnetic and nanophotonic devices, with a strong focus on theoretical and computational design and optimization. Highlighting emerging areas such as metasurfaces, metamaterials, topological photonics, reconfigurable photonic devices, and on-chip photonic integration, this Special Issue places particular emphasis on contributions leveraging inverse design, advanced optimization algorithms, and artificial intelligence (AI—including machine learning and deep learning) to realize unprecedented device performance. Submissions focusing on novel methodologies, high-fidelity simulations, and interdisciplinary approaches bridging photonics, nanotechnology, and computer science are especially encouraged. While this Special Issue primarily targets computational and theoretical advancements for next-generation photonic and electromagnetic devices, contributions that include experimental validation or practical demonstrations are also welcome. This forward-looking Special Issue invites authors to push the frontiers of photonics and optical engineering through innovative device concepts, advanced optimization techniques, and cross-disciplinary perspectives aimed at driving future technological breakthroughs.

Dr. Haejun Chung
Guest Editor

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Keywords

  • metasurfaces
  • metamaterials
  • plasmonics
  • nanophotonics
  • integrated photonics
  • topological photonics
  • quantum optics
  • nonlinear optics
  • optical communications
  • optical sensors
  • fiber optics
  • silicon photonics
  • optical waveguides
  • inverse design
  • optimization algorithms
  • deep learning
  • machine learning
  • artificial intelligence (AI)
  • computational electromagnetics
  • optoelectronics
  • reconfigurable photonic devices
  • terahertz photonics
  • microwave photonics
  • ultrafast optics
  • bio-photonics
  • optical imaging
  • optical modulation

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Published Papers (1 paper)

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Review

29 pages, 3363 KB  
Review
Surface and Interface Engineering in Integrated Photonic Sensors: Performance Trade-Offs, Stability, and Benchmarking
by Nikolay L. Kazanskiy, Dmitry V. Nesterenko and Svetlana N. Khonina
Micromachines 2026, 17(5), 522; https://doi.org/10.3390/mi17050522 - 25 Apr 2026
Viewed by 500
Abstract
Surface and interface engineering has become a decisive factor in determining the performance and reliability of integrated photonic sensors. As photonic device architectures advance and geometric optimization strategies approach their fundamental performance limits, the nanoscale interface region where confined optical modes interact with [...] Read more.
Surface and interface engineering has become a decisive factor in determining the performance and reliability of integrated photonic sensors. As photonic device architectures advance and geometric optimization strategies approach their fundamental performance limits, the nanoscale interface region where confined optical modes interact with the surrounding environment progressively becomes the dominant factor governing sensitivity, noise characteristics, and long-term operational stability. This review critically examines recent advances in these strategies applied to integrated photonic sensing platforms, including waveguide, interferometric, and resonant architectures. Emphasis is placed on how functional layers, nanomaterials, and hybrid interfaces modify light–matter interactions, while simultaneously introducing optical loss, spectral distortion, and stability constraints. Beyond summarizing reported sensitivity enhancements, this review analyzes performance benchmarking methodologies and highlights the limitations of conventional metrics such as bulk sensitivity and nominal limit of detection. Normalized figures of merit are discussed as essential tools for isolating genuine interface contributions across diverse platforms. Experimentally documented trade-offs between enhanced surface interaction, optical degradation, and temporal drift are examined in detail, alongside challenges related to reproducibility, wafer-scale variability, and long-term interface stability. By synthesizing insights from photonics, surface chemistry, and materials science, this review outlines key open questions and identifies design principles necessary for translating surface-engineered photonic sensors from laboratory demonstrations to robust and scalable sensing technologies. Full article
(This article belongs to the Special Issue Novel Electromagnetic/Nanophotonic Devices: Designs and Optimizations)
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