Theoretical Study of Graphene as a Diffusion Barrier in Metal-Based Nanoenergetic Films

Graphene has emerged as a promising component for nanoenergetic composites, yet its capability to suppress interfacial diffusion under near-room-temperature fabrication and storage conditions remains insufficiently understood. In this work, first-principles calculations combined with ab initio molecular dynamics (AIMD) simulations were employed to systematically investigate the adsorption, diffusion, and penetration behaviors of representative metal fuels (Al, Mg, and Ti) on graphene. Static adsorption calculations reveal distinct interaction strengths, with Ti exhibiting chemisorption, Al weak chemisorption, and Mg physisorption. AIMD simulations demonstrate that Al adatoms remain adsorbed while diffusing freely in-plane, Mg undergoes spontaneous desorption, and Ti remains strongly localized at hollow sites due to a significantly higher diffusion barrier. Penetration studies show that all three metals face prohibitively high energy barriers when traversing graphene, confirming its effectiveness as a diffusion barrier under near-ambient conditions. Electronic structure analyses indicate that the strong Ti adsorption originates from d-π hybridization and interfacial charge redistribution, whereas Al adsorption involves mixed ionic-covalent interactions, and Mg adsorption is dominated by weak polarization effects. These findings establish a clear structure-property relationship governing interfacial stability and demonstrate that graphene can effectively suppress premature interdiffusion in nanoenergetic multilayer films, particularly in Ti-based systems.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-05-30
DOI
https://doi.org/10.1021/acs.langmuir.6c00766
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Theoretical Study of Graphene as a Diffusion Barrier in Metal-Based Nanoenergetic Films

Shenghua Feng, Weihua Zhu, Xuejiao Li, Qingyan Li et al.
Langmuir
Graphene research and applications
article

Theoretical Study of Graphene as a Diffusion Barrier in Metal-Based Nanoenergetic Films

Shenghua Feng, Weihua Zhu, Xuejiao Li, Qingyan Li, ZHAO Ying2, Weifeng Zhang
article en

Abstract

Graphene has emerged as a promising component for nanoenergetic composites, yet its capability to suppress interfacial diffusion under near-room-temperature fabrication and storage conditions remains insufficiently understood. In this work, first-principles calculations combined with ab initio molecular dynamics (AIMD) simulations were employed to systematically investigate the adsorption, diffusion, and penetration behaviors of representative metal fuels (Al, Mg, and Ti) on graphene. Static adsorption calculations reveal distinct interaction strengths, with Ti exhibiting chemisorption, Al weak chemisorption, and Mg physisorption. AIMD simulations demonstrate that Al adatoms remain adsorbed while diffusing freely in-plane, Mg undergoes spontaneous desorption, and Ti remains strongly localized at hollow sites due to a significantly higher diffusion barrier. Penetration studies show that all three metals face prohibitively high energy barriers when traversing graphene, confirming its effectiveness as a diffusion barrier under near-ambient conditions. Electronic structure analyses indicate that the strong Ti adsorption originates from d-π hybridization and interfacial charge redistribution, whereas Al adsorption involves mixed ionic-covalent interactions, and Mg adsorption is dominated by weak polarization effects. These findings establish a clear structure-property relationship governing interfacial stability and demonstrate that graphene can effectively suppress premature interdiffusion in nanoenergetic multilayer films, particularly in Ti-based systems.

Langmuir
Anhui University of Science and Technology (CN), Nanjing University of Science and Technology (CN), Institut de Biologie Moléculaire et Cellulaire (FR)
National Natural Science Foundation of China, Anhui University of Science and Technology, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 11%
Graphene research and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.