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Related Experiment Video

Updated: Jun 11, 2026

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
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Published on: October 12, 2019

Computational Insights Into g-C3N4-Based Heterojunctions for Photocatalytic Water Splitting Reaction.

Dhilshada V N1, Neeraj Ramachandran1, Mausumi Chattopadhyaya1

  • 1Department of Chemistry, National Institute of Technology, Calicut, Kerala, India.

Journal of Computational Chemistry
|June 10, 2026
PubMed
Summary

This review provides a computational framework for designing graphitic carbon nitride (g-C3N4) heterojunctions for efficient solar-driven hydrogen production. It details density functional theory (DFT) methods to model and optimize these promising photocatalysts.

Keywords:
DFTband‐alignmentcomposite‐formationcomputational‐modelingdopingelectric fieldg‐C3N4photogenerated electrons‐holesstrain

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Renewable Energy

Background:

  • Graphitic carbon nitride (g-C3N4) is a promising metal-free photocatalyst for solar hydrogen production.
  • Pristine g-C3N4 suffers from limited light absorption, charge transport, and recombination.
  • Heterojunction engineering is crucial for enhancing g-C3N4 photocatalytic efficiency.

Purpose of the Study:

  • To provide a computational methodology-oriented review on modeling g-C3N4-based heterojunctions using DFT.
  • To offer a step-by-step framework for constructing, analyzing, and optimizing these photocatalysts.
  • To bridge the gap between theoretical modeling and experimental realization for solar hydrogen production.

Main Methods:

  • Utilizes density functional theory (DFT) for first-principles calculations.
  • Systematically discusses various heterojunction architectures (Type I, Type II, Z-scheme, S-scheme, etc.).
  • Employs computational descriptors for structural, electronic, optical, and charge-transfer properties.

Main Results:

  • Consolidates DFT-based modeling protocols and essential descriptors for photocatalyst evaluation.
  • Highlights computational strategies for enhancing photocatalytic activity (strain, electric fields, defects, etc.).
  • Critically evaluates challenges and mitigation strategies in DFT modeling of heterojunctions.

Conclusions:

  • DFT provides a powerful tool for rational design and optimization of g-C3N4 heterojunctions.
  • Computational modeling accelerates the discovery of efficient and stable photocatalysts for solar hydrogen production.
  • Integration of modeling principles and enhancement strategies guides experimental realization.