Evidence map›Paper›PMID 42197183›Full record

ReviewMolecules (Basel, Switzerland)2026

Atomic-Scale Molecular Dynamics Modeling of Iron Oxides: Surface Properties and Methodologies.

Nikoleta Ivanova, Hassan Chamati

Abstract readReview
In one paragraph

Review in Molecules (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

2 authors.

Nikoleta IvanovaDepartment of Physical Chemistry, University of Chemical Technology and Metallurgy, 8 Kliment Ohridski Blvd., 1756 Sofia, Bulgaria.ORCID 0000-0003-1655-8327
Hassan ChamatiInstitute of Solid State Physics, Bulgarian Academy of Sciences, 72 Tzarigradsko Chaussée, 1784 Sofia, Bulgaria.ORCID 0000-0002-0831-6945

Funding

Bulgarian Science Fund KΠ-06-H78/2European Regional Development Fund BG16RFPR002-1.014-0006
6 · The paper itself

Abstract

Iron oxides, including hematite (α-Fe2O3), magnetite (Fe3O4), and maghemite (γ-Fe2O3), play central roles in catalysis, corrosion, environmental remediation, magnetic nanotechnology, and energy storage. Molecular dynamics simulations have become an essential tool for understanding their structural, magnetic, and interfacial behavior at the atomic scale. This review provides a comprehensive overview of MD methodologies applied to these materials, spanning classical force fields, reactive force fields, ab initio molecular dynamics, and emerging machine learning interatomic potentials. Particular emphasis is placed on facet-dependent surface chemistry, especially the contrast between compact (111) and open (110) planes, and on adsorption processes involving water, nitrogen-containing molecules, and representative organic compounds. The review highlights recent advances in force field development, redox modeling, and multiscale simulation strategies while critically identifying limitations related to charge transfer, mixed valence, vacancy ordering, and magnetic-chemical coupling. Finally, future perspectives are outlined toward quantitatively predictive, facet-resolved, and magnetically aware simulations of iron oxide interfaces. These developments are expected to tightly link atomistic insights with experimental observations and guide the rational design of iron oxide-based functional materials.

Indexed as

hematitemaghemitemagnetitemolecular dynamicssurface chemistry

Identifiers

PMID42197183
PMCPMC13209571

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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.