Evidence map›Paper›PMID 41624717›Full record

ArticleACS physical chemistry Au2026

Integrating Computational Modeling and Experiments for the Additive Manufacturing of Copper-Based Antibacterial Coatings on 304SS Surface.

Valentin Romanovski, Nickolay Sdobnyakov, Andrey Kolosov, Kseniya Savina, Mohammad Sharifian Gh, Nikita Nepsha, Denis Sokolov, Saravana Kumar M, Abhijit Bhowmik, Dmitry Moskovskikh and 2 more

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Article in ACS physical chemistry Au, 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
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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

12 authors.

Valentin RomanovskiDepartment of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID https://orcid.org/0000-0003-1741-0316
Nickolay SdobnyakovDepartment of General Physics, Tver State University, Tver 170002, Russia.ORCID https://orcid.org/0000-0003-1749-0336
Andrey KolosovDepartment of General Physics, Tver State University, Tver 170002, Russia.
Kseniya SavinaDepartment of General Physics, Tver State University, Tver 170002, Russia.
Mohammad Sharifian GhDepartment of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States.
Nikita NepshaDepartment of General Physics, Tver State University, Tver 170002, Russia.ORCID https://orcid.org/0000-0001-6203-3236
Denis SokolovDepartment of General Physics, Tver State University, Tver 170002, Russia.
Saravana Kumar MGraduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei 10608, Taiwan.
Abhijit BhowmikDepartment of Additive Manufacturing, Mechanical Engineering, SIMATS, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai 602105, India.
Dmitry MoskovskikhScience and Research Centre of Functional Nano-Ceramics, National University of Science and Technology "MISIS", Lenin Av. 4, Moscow 119049, Russia.
Marcos M PiresDepartment of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID https://orcid.org/0000-0002-5676-0725
Elena RomanovskaiaDepartment of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of antibacterial coatings is very important for reducing pathogenic microorganisms on frequently touched surfaces. This study explores the formation of copper-based antibacterial coatings on 304 stainless steel using laser powder bed fusion (L-PBF) and integrates molecular dynamics (MD) simulations to analyze the melting and coalescence processes at the nanoscale. Experimental results showed heterogeneous copper distribution in the melting pool, with Cu-rich regions reaching up to 69 at. %. SEM-EDS analysis confirmed localized phase separation due to rapid solidification and Marangoni convection. MD simulations of Cu-304SS nanoparticles demonstrated significant copper surface segregation at 1600 K, validating experimental observations. The antibacterial efficacy of the coatings was assessed against

Indexed as

3D printingantibacterial coatingscopper depositionlaser powder bed fusionmolecular dynamics simulation

Identifiers

PMID41624717
PMCPMC12856665

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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.