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Photonics
Special Issues
Electromagnetic Solutions for Thermal Management and Sustainability
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Electromagnetic Solutions for Thermal Management and Sustainability

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "New Applications Enabled by Photonics Technologies and Systems".

Deadline for manuscript submissions: 1 March 2027 | Viewed by 597

Special Issue Editor

Dr. Chenghao Wan

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Guest Editor
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Interests: photonics; tunable optical materials; thermal emission engineering; thermal management; decarbonization

Special Issue Information

Dear Colleagues,

We are pleased to invite submissions to the Special Issue “Electromagnetic Solutions for Thermal Management and Sustainability.” The urgent global demand for energy efficiency and climate resilience has brought photonics and applied electromagnetics to the forefront of sustainable technologies. By harnessing electromagnetic waves across the spectrum—from optical and infrared, to microwave and RF—we can develop innovative strategies for managing heat, harvesting renewable energy, and reducing environmental impact.

This Special Issue aims to showcase cutting-edge research that leverages electromagnetic principles and materials for thermal control and sustainable energy applications. We seek to highlight interdisciplinary advances that connect fundamental physics with real-world solutions in energy, communications, and manufacturing, aligning with the broader mission of Photonics.

Original research articles and reviews are welcome. Contributions may address, but are not limited to, the following themes:

  • Passive radiative cooling and advanced metasurface coatings;
  • Dynamic materials for thermal emission engineering;
  • Near-field radiative heat transfer and thermal metasurfaces;
  • Electromagnetic heating for sustainable industrial chemical processing;
  • Electromagnetic energy harvesting and wireless power transfer.

Together, these topics illustrate how electromagnetic solutions can transform thermal management and energy utilization, paving the way toward a sustainable future.

We look forward to receiving your contributions!

Dr. Chenghao Wan
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Photonics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • radiative cooling
  • metasurfaces
  • thermophotovoltaics
  • thermal management
  • sustainable photonics
  • microwave heating
  • wireless power
  • energy harvesting
  • metamaterials
  • green communications

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

24 pages, 5458 KB  
Article
The Establishment and Optimization of a Multi-Thermodynamic-State Gas Radiation Model Based on Spectral Mapping Using Intervals of Comonotonicity
by Jianing Fu, Junfei Zhou, Jinglei Xu and Junsheng Zhang
Photonics 2026, 13(2), 164; https://doi.org/10.3390/photonics13020164 - 8 Feb 2026
Viewed by 339
Abstract
In infrared radiation calculations, the k-distribution method effectively improves the computational efficiency of solving the radiative transfer equation for uniform paths and achieves accuracy comparable to the line-by-line method. However, when applied to highly non-uniform scenarios involving multiple thermodynamic states, such as the [...] Read more.
In infrared radiation calculations, the k-distribution method effectively improves the computational efficiency of solving the radiative transfer equation for uniform paths and achieves accuracy comparable to the line-by-line method. However, when applied to highly non-uniform scenarios involving multiple thermodynamic states, such as the infrared radiation from aero-engine nozzles, the computational error increases significantly. This paper proposes a spectral mapping method for multiple thermodynamic states, which iteratively partitions the spectral intervals of the target gas into multiple comonotonic sub-intervals using particle swarm and clustering algorithms. This approach eliminates the blurring effect of traditional k-distribution methods in strongly non-uniform scenarios and enhances the computational accuracy. The study examines the impact of sub-interval partitioning strategies on the accuracy of the gas radiation model, explores the mechanism behind constructing comonotonicity within sub-intervals, and reveals how variations in the comonotonic vector and spectral point clustering strengthen sub-interval comonotonicity. The proposed spectral mapping method and optimization techniques are applied to gas radiation models in typical infrared bands, and the performance of the model is evaluated using results from representative one-dimensional test cases. The results demonstrate that the optimized spectral mapping method reduces the overall relative error of the gas radiation model from 63% to 7.3%, achieving a maximum improvement in computational accuracy of 88.5%. Full article
(This article belongs to the Special Issue Electromagnetic Solutions for Thermal Management and Sustainability)
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