Javascript must be enabled to continue!
Metal-Decorated C8 Quantum Dots as Lightweight Hydrogen Storage Materials: A Comprehensive DFT Study
View through CrossRef
Lightweight, efficient, and reversible hydrogen storage materials are critical for the advancement of hydrogen-based energy technologies. In this work, we present a comprehensive density functional theory (DFT) investigation of hydrogen storage in pristine and metal-decorated C8 carbon quantum dots (CQDs), representing ultrasmall, highly curved nanomaterials at the molecular–nanoscale interface. Lithium, magnesium, and titanium were investigated as representative decorating metals to tailor hydrogen adsorption strength and reversibility. The pristine C8 quantum dot is structurally stable but exhibits negligible hydrogen affinity (−0.062 eV per H2), rendering it unsuitable for practical storage applications. In contrast, metal decoration significantly enhances hydrogen adsorption while preserving molecular H2 physisorption, yielding optimal single-molecule adsorption energies of −0.172, −0.304, and −0.451 eV for Li-, Mg-, and Ti-CQDs, respectively. Sequential adsorption analysis indicates exceptionally high hydrogen uptakes of up to 18 H2 molecules for Li-CQD and 20 H2 molecules for both Mg- and Ti-CQDs, corresponding to very high theoretical gravimetric capacities. Energy decomposition and interaction region analyses demonstrate that hydrogen uptake proceeds via a cooperative physisorption mechanism driven by dispersion, electrostatic, and polarization interactions, strongly enhanced by quantum confinement and extreme curvature effects inherent to the CQD. Grand canonical thermodynamic modeling confirms fully reversible hydrogen storage under practical temperature and pressure conditions. Among the systems studied, Mg-CQD exhibits the most favorable balance between adsorption strength and desorption accessibility, delivering a remarkable reversible gravimetric hydrogen storage capacity of 21.7 wt%, significantly surpassing most metal-decorated graphene-, fullerene-, and carbon nanotube-based materials reported to date. These results establish metal-decorated C8 quantum dots as a new class of high-performance nanomaterials for reversible hydrogen storage and demonstrate the potential of ultrasmall carbon quantum dots to overcome the long-standing trade-off between hydrogen uptake and reversibility in nanostructured storage media.
Title: Metal-Decorated C8 Quantum Dots as Lightweight Hydrogen Storage Materials: A Comprehensive DFT Study
Description:
Lightweight, efficient, and reversible hydrogen storage materials are critical for the advancement of hydrogen-based energy technologies.
In this work, we present a comprehensive density functional theory (DFT) investigation of hydrogen storage in pristine and metal-decorated C8 carbon quantum dots (CQDs), representing ultrasmall, highly curved nanomaterials at the molecular–nanoscale interface.
Lithium, magnesium, and titanium were investigated as representative decorating metals to tailor hydrogen adsorption strength and reversibility.
The pristine C8 quantum dot is structurally stable but exhibits negligible hydrogen affinity (−0.
062 eV per H2), rendering it unsuitable for practical storage applications.
In contrast, metal decoration significantly enhances hydrogen adsorption while preserving molecular H2 physisorption, yielding optimal single-molecule adsorption energies of −0.
172, −0.
304, and −0.
451 eV for Li-, Mg-, and Ti-CQDs, respectively.
Sequential adsorption analysis indicates exceptionally high hydrogen uptakes of up to 18 H2 molecules for Li-CQD and 20 H2 molecules for both Mg- and Ti-CQDs, corresponding to very high theoretical gravimetric capacities.
Energy decomposition and interaction region analyses demonstrate that hydrogen uptake proceeds via a cooperative physisorption mechanism driven by dispersion, electrostatic, and polarization interactions, strongly enhanced by quantum confinement and extreme curvature effects inherent to the CQD.
Grand canonical thermodynamic modeling confirms fully reversible hydrogen storage under practical temperature and pressure conditions.
Among the systems studied, Mg-CQD exhibits the most favorable balance between adsorption strength and desorption accessibility, delivering a remarkable reversible gravimetric hydrogen storage capacity of 21.
7 wt%, significantly surpassing most metal-decorated graphene-, fullerene-, and carbon nanotube-based materials reported to date.
These results establish metal-decorated C8 quantum dots as a new class of high-performance nanomaterials for reversible hydrogen storage and demonstrate the potential of ultrasmall carbon quantum dots to overcome the long-standing trade-off between hydrogen uptake and reversibility in nanostructured storage media.
Related Results
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
The Challenges of Underground Hydrogen Gas Storage
The Challenges of Underground Hydrogen Gas Storage
ABSTRACT:
While hydrogen as a gas (H2) has been stored in salt caverns on the American Gulf Coast for the last 40 years, it’s attributes are a challenge for under...
Review of Hydrogen Storage in Solid-State Materials
Review of Hydrogen Storage in Solid-State Materials
As a kind of clean energy, hydrogen energy has great potential to reduce environmental pollution and provide efficient energy conversion, and the key to its efficient utilization i...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Quantum Computing and Quantum Information Science
Quantum Computing and Quantum Information Science
Abstract:
Quantum Computing and Quantum Information Science offers a comprehensive, interdisciplinary exploration of the mathematical principles, computational models, and engineer...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Ensemble density-functional theory : an ensemble perspective to target excited states and to palliate infamous deficiencies of standard ab initio methods
Ensemble density-functional theory : an ensemble perspective to target excited states and to palliate infamous deficiencies of standard ab initio methods
La théorie de la fonctionnelle de la densité d'ensemble : une alternative pour décrire les états excités et pour pallier aux limitations des méthodes ab initio standard
...
Elucidating hydrogen-solid interactions using computational modeling
Elucidating hydrogen-solid interactions using computational modeling
Hydrogen has significant chemical utility, both as a synthetic reagent and as an energy carrier. As the world moves away from fossil fuels being the predominant energy carrier, the...

