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Gels
Special Issues
Energy Storage and Conductive Gel Polymers
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Energy Storage and Conductive Gel Polymers

A special issue of Gels (ISSN 2310-2861). This special issue belongs to the section "Gel Applications".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 636

Special Issue Editors

Prof. Dr. Thirukumaran Periyasamy

E-Mail Website
Guest Editor
Department of Fiber System Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
Interests: polymers; bio-polymers; carbons; polymer films; energy storge
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Seong-Cheol Kim

E-Mail Website
Guest Editor
School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
Interests: hydrogel; biomaterial; polymer synthesis; additives; conductive gels
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy storage technologies are fundamental for modern electronics, electric vehicles, and renewable energy integration. Conductive gel polymers (CGPs) are emerging as promising materials for enhancing the performance, flexibility, and efficiency of energy storage devices such as supercapacitors and batteries. These materials combine the benefits of polymeric flexibility with high ionic and electronic conductivity, making them suitable for next-generation energy storage systems. CGPs serve as electrolytes in supercapacitors and batteries, enabling efficient ion transport while maintaining structural integrity. CGPs used in electrodes enhance their conductivity and improve electrochemical performance. Advanced CGPs exhibit self-healing properties, improving device durability, especially in wearable electronics. The key materials in conductive gel polymers, such as poly(ethylene oxide), polyacrylamide, polyvinyl alcohol, polyaniline, polypyrrole, and graphene-based gels, produce high ionic conductivity, improve charge transport properties and enhance the mechanical strength of polymers. These advancements make CGPs a key component in next-generation sustainable and high-performance energy storage solutions.

This Special Issue will highlight the development and application of conductive gel polymers (CGPs) in energy storage systems, addressing several critical challenges and advancing the performance of modern energy storage technologies.

Prof. Dr. Thirukumaran Periyasamy
Prof. Dr. Seong-Cheol Kim
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Gels 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 2100 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

  • development of gel polymers in energy storage systems
  • application of gel polymers in energy storage systems
  • stable gel electrolytes
  • stretchable, self-healing, and flexible conductive gels
  • biodegradable and non-toxic conductive gels
  • hybrid gel materials

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Published Papers (1 paper)

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Research

21 pages, 8543 KB  
Article
Optimization of the Thermal Performance of Na2HPO4·12H2O-Based Gel Phase Change Materials in Solar Greenhouses Using Machine Learning
by Wenhe Liu, Xuhui Wu, Mengmeng Yang, Yuhan Huang, Zhanyang Xu, Mingze Yao, Yikui Bai and Feng Zhang
Gels 2025, 11(9), 744; https://doi.org/10.3390/gels11090744 - 16 Sep 2025
Viewed by 456
Abstract
In the design of gel phase change composite wall materials for solar greenhouses, the alteration of material composition could directly affect the thermal performance of gel phase change composite wall materials. In order to obtain better suitable gel phasechange composite wall material for [...] Read more.
In the design of gel phase change composite wall materials for solar greenhouses, the alteration of material composition could directly affect the thermal performance of gel phase change composite wall materials. In order to obtain better suitable gel phasechange composite wall material for solar greenhouses, Na2HPO4·12H2O-based gel phasechange materials with different content of ingredient (Na2SiO3·9H2O, C35H49O29, KCl, and nano-α-Fe2O3) were obtained via the Taguchi method and machine learning algorithms, such as Support Vector Regression (SVR), Random Forest (RF), and Gradient Boosting Trees (GBDT). The result shows that the GBDT is more suitable for the thermal performance optimization prediction of gel phase change composite wall materials, including time cooling (TC), latent heat of phase change (ΔHm), supercooling degree (ΔT), and phase change temperature (Tm). The determination coefficient (R2) of time cooling (TC), latent heat of phase change (ΔHm), supercooling degree (ΔT), and phase change temperature (Tm) by GBDT are 0.9987, 0.99965, 1, and 0.9995, respectively. The mean absolute error (MAE) coefficient percentage of supercooling degree (ΔT), phase change temperature (Tm), latent heat of phase change (ΔHm), and time of cooling (TC) by GBDT are 0.32%, 0.25%, 0.17%, and 0.26%, respectively. The root mean square error (RMSE) of supercooling degree (ΔT), phase change temperature (Tm), latent heat of phase change (ΔHm), and time of cooling (TC) by GBDT are 0.41%, 0.32%, 0.19%, and 0.35%, respectively. The optimal result predicted by GBDT is Na2HPO4·12H2O + 5% Na2SiO3·9H2O + 12% KCl + 0.2% Nano-α-Fe2O3 + 3% C35H49O29, which was verified by experiments. Full article
(This article belongs to the Special Issue Energy Storage and Conductive Gel Polymers)
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