Evidence map›Paper›PMID 41511269›Full record

ReviewNanomaterials (Basel, Switzerland)2026

Molecular Dynamics Simulation of Nano-Aluminum: A Review on Oxidation, Structure Regulation, and Energetic Applications.

Dihua Ouyang, Xin Chen, Qiantao Zhang, Chunpei Yu, He Cheng, Weiqiang Pang, Jieshan Qiu

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dihua OuyangSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Xin ChenSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Qiantao ZhangCenter for Chemical Material Analysis, Nanjing University of Science and Technology, Nanjing 210094, China.
Chunpei YuSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
He ChengSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Weiqiang PangXi'an Modern Chemistry Research Institute, Xi'an 710065, China.ORCID 0000-0002-0264-8017
Jieshan QiuSchool of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Funding

Natural Science Foundation of Shaanxi Province 2024JC-YBMS-414
6 · The paper itself

Abstract

Nano-aluminum (nAl), characterized by its high combustion enthalpy and enhanced reactivity, serves as a critical component in advanced energetic materials like solid propellants and micro-ignition devices. However, the atomic-scale mechanisms governing its core-shell structure evolution, oxidation dynamics, and interfacial interactions remain elusive to experimental probes due to spatiotemporal limitations. Molecular dynamics (MD) simulations, particularly the synergistic use of a ReaxFF reactive force field (for large-scale systems) and ab initio MD (for electronic-level accuracy), have emerged as a powerful tool to overcome this barrier. This review systematically delineates the oxidation mechanisms and core-shell structure regulation of nAl, with a focus on the multi-scale simulation paradigm integrating DFT, AIMD, and ReaxFF MD that directly supports nAl research. It critically examines the pivotal role of MD simulations in guiding the surface modification of nAl, elucidating combustion mechanisms at the atomic level, and designing interfaces in energetic composite systems. By synthesizing recent advances (2022-2025), this study establishes a clear structure-property relationship between microscopic features and macroscopic performance of nAl. Furthermore, it identifies prevailing challenges, including simulations under multi-physics loading, multi-scale bridging, and quantitative experiment-simulation validation that specifically affect nAl-based energetic systems. Finally, future research directions are prospected, encompassing the development of machine learning-empowered force fields tailored for nAl systems, multi-scale and multi-field coupling simulation frameworks targeting nAl applications, and closed-loop experiment-simulation systems for nAl-based energetic materials. This review aims to provide fundamental insights and a technical framework for the rational design and engineering application of nAl-based energetic materials in fields such as aerospace propulsion.

Indexed as

energetic materialsmolecular dynamics simulationnano-aluminum core–shell structurenano-aluminum powderReaxFF reactive force field

Identifiers

PMID41511269
PMCPMC12787602

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.