Tunable SiC-Based Photocatalysts for Hydrogen Generation and Environmental Remediation

Silicon carbide (SiC) has emerged as a robust and tunable semiconductor for advanced photocatalytic applications. This review provides a comprehensive overview of recent progress in the development of SiC-based materials for environmental remediation and solar-driven hydrogen production. Key aspects discussed include morphological engineering, heterostructure design, doping strategies, and plasmonic enhancement. Emphasis is placed on structure-activity relationships, insights from density functional theory (DFT) and machine learning (ML) models, and synergistic effects in composite systems. This review concludes with a critical analysis of current challenges and future research directions, highlighting the potential of SiC implementation as a sustainable platform for next-generation photocatalytic technologies.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-01-13
DOI
https://doi.org/10.3390/ijms27020774
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
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article

Tunable SiC-Based Photocatalysts for Hydrogen Generation and Environmental Remediation

Ф. Р. Капсаламова, David J. Nagel, Nurlan Bakranov, Dina Bakranova et al.
International Journal of Molecular Sciences
Silicon Carbide Semiconductor Technologies
article

Tunable SiC-Based Photocatalysts for Hydrogen Generation and Environmental Remediation

Ф. Р. Капсаламова, David J. Nagel, Nurlan Bakranov, Dina Bakranova, Danil Boukhvalov
article en

Abstract

Silicon carbide (SiC) has emerged as a robust and tunable semiconductor for advanced photocatalytic applications. This review provides a comprehensive overview of recent progress in the development of SiC-based materials for environmental remediation and solar-driven hydrogen production. Key aspects discussed include morphological engineering, heterostructure design, doping strategies, and plasmonic enhancement. Emphasis is placed on structure-activity relationships, insights from density functional theory (DFT) and machine learning (ML) models, and synergistic effects in composite systems. This review concludes with a critical analysis of current challenges and future research directions, highlighting the potential of SiC implementation as a sustainable platform for next-generation photocatalytic technologies.

International Journal of Molecular SciencesVol. 27(2)
Altair Engineering (United States) (US), Nanjing Forestry University (CN), Kazakh-British Technical University (KZ), George Washington University (US), Kazakh-American University (KZ)
Openalex Percentile: Top 91%
Silicon Carbide Semiconductor Technologies
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