Graphene Quantum Dots as a Teaching Platform: A Computational Module for Exploring Structure–Property–Function Relationships

Graphene quantum dots (GQDs) provide an engaging platform for integrating nanomaterials science into upper-level undergraduate and introductory graduate chemistry instruction. This tutorial presents a computational learning module that guides students in exploring how structural modifications─including size variation, pore formation, and heteroatom doping, affect the electronic properties and reactivity of GQDs. Using density functional theory (DFT) and molecular orbital (MO) analysis, students investigate relationships among the energy gap, orbital localization, and chemical reactivity, with the oxygen reduction reaction (ORR) serving as a representative application. The module provides theoretical background, step-by-step computational procedures, and all necessary input and output files for seamless implementation in classroom or laboratory settings. Through guided analysis and visualization, students connect molecular structure to electronic behavior and catalytic performance, strengthening their understanding of structure–property–function relationships while developing transferable skills in data analysis, computational reasoning, and critical thinking.

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Publication Details

Journal
Journal of Chemical Education
Published
2026-02-16
DOI
https://doi.org/10.1021/acs.jchemed.5c01492
Primary Topic
Various Chemistry Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Graphene Quantum Dots as a Teaching Platform: A Computational Module for Exploring Structure–Property–Function Relationships

Neil Qiang Su, Xinjie Wan
Journal of Chemical Education
Various Chemistry Research Topics
article

Graphene Quantum Dots as a Teaching Platform: A Computational Module for Exploring Structure–Property–Function Relationships

Neil Qiang Su, Xinjie Wan
article en

Abstract

Graphene quantum dots (GQDs) provide an engaging platform for integrating nanomaterials science into upper-level undergraduate and introductory graduate chemistry instruction. This tutorial presents a computational learning module that guides students in exploring how structural modifications─including size variation, pore formation, and heteroatom doping, affect the electronic properties and reactivity of GQDs. Using density functional theory (DFT) and molecular orbital (MO) analysis, students investigate relationships among the energy gap, orbital localization, and chemical reactivity, with the oxygen reduction reaction (ORR) serving as a representative application. The module provides theoretical background, step-by-step computational procedures, and all necessary input and output files for seamless implementation in classroom or laboratory settings. Through guided analysis and visualization, students connect molecular structure to electronic behavior and catalytic performance, strengthening their understanding of structure–property–function relationships while developing transferable skills in data analysis, computational reasoning, and critical thinking.

Journal of Chemical EducationVol. 103(3)
Nankai University (CN), Ministry of Education (IR)
Openalex Percentile: Top 53%
Various Chemistry Research Topics
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Graphene Quantum Dots as a Teaching Platform: A Computational Module for Exploring Structure–Property–Function Relationships — Neil Qiang Su, Xinjie Wan · Journal of Chemical Education (2026) | TGRS Research Map | TGRS