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Collection of Papers from the 2024 Material Coatings Science and...
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Collection of Papers from the 2024 Material Coatings Science and Technology Symposium

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Ceramic Coatings and Engineering Technology".

Deadline for manuscript submissions: 25 February 2025 | Viewed by 3169

Special Issue Editor

Prof. Dr. Wei Pan

E-Mail Website
Guest Editor
State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science & Engineering, Tsinghua University, Beijing 100084, China
Interests: low thermal conductivity ceramics for gas-turbines; solid-electrolytes and nanomaterials

Special Issue Information

Dear Colleagues,
To promote scientific and technological exchanges among experts and scholars in the field of coatings and to enhance the applications of coating technology, the Special Ceramics Branch of the Chinese Silicate Society and the international journal Coatings will jointly hold the "2024 Material Coatings Science and Technology Symposium" in Lanzhou, China. The conference aims to facilitate scientific and technological exchanges among experts and scholars in the field of coating science and technology and elevate the applications of coating technology.

Based on this conference, we are delighted to announce a Special Issue, “Collection of Papers from the 2024 Material Coatings Science and Technology Symposium”. This Special Issue aims to highlight cutting-edge research, advancements, and innovative approaches in the field of material coatings.

Papers submitted to this Special Issue should present original research or significant review articles related to the theme of material coatings. We welcome studies on topics including the following:

Coatings Materials:

A1 High-Entropy Materials;

A2 Thermal Functional Materials;

A3 Optical Functional Materials;

A4 Electrical/Magnetic/Acoustic Functional Materials.

Coatings Technologies:

B1 Chemical Vapor Deposition;

B2 Thermal Spraying;

B3 Plasma Electrolytic Oxidation;

B4 Atomic Layer Deposition;

B5 Chemical Deposition;

B6 Self-Assembly.

Coatings Applications:

C1 Thermal Barrier/Environmental Barrier Coatings;

C2 Battery Coatings;

C3 Biofunctional Coatings;

C4 Superhydrophobic/Hydrophilic Coatings;

C5 Low Friction and Wear-Resistant Coatings;

C6 Antimicrobial Coatings;

C7 Anti-corrosion Coatings;

C8 Fuel Cladding Coatings;

C9 Smart Coatings.

Please note that submitted manuscripts should adhere to our journal's guidelines and formatting requirements, which can be found on our website.

We eagerly anticipate receiving your contributions and look forward to publishing an outstanding collection of papers that will advance the field of the science and technology of material coatings.

Prof. Dr. Wei Pan
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Coatings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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18 pages, 19112 KiB  
Article
Revealing the Mechanical Impact of Biomimetic Nanostructures on Bacterial Behavior
by Xin Wu, Xianrui Zou, Donghui Wang, Mingjun Li, Bo Zhao, Yi Xia, Hongshui Wang and Chunyong Liang
Coatings 2024, 14(7), 860; https://doi.org/10.3390/coatings14070860 - 9 Jul 2024
Viewed by 1358
Abstract
Naturally inspired nanostructured surfaces, by mechanically inhibiting bacterial adhesion or killing bacteria, effectively prevent the emergence of antibiotic resistance, making them a promising strategy against healthcare-associated infections. However, the current mechanical antibacterial mechanism of nanostructures is not clear, thus limiting their potential application [...] Read more.
Naturally inspired nanostructured surfaces, by mechanically inhibiting bacterial adhesion or killing bacteria, effectively prevent the emergence of antibiotic resistance, making them a promising strategy against healthcare-associated infections. However, the current mechanical antibacterial mechanism of nanostructures is not clear, thus limiting their potential application in medical devices. This work mainly investigates the mechanical influence mechanism of biomimetic nanostructure parameters on bacterial adhesion and growth status. The results of 12 h bacterial culture showed that compared to flat surfaces, nanostructures reduced the adhesion of both E. coli and S. aureus bacteria by 49%~82%. The bactericidal efficiency against E. coli increased by 5.5%~31%, depending on the shape of the nanostructures. Nanostructures with smaller tip diameters exhibited the best anti-bacterial adhesion effects. Nanostructures with sharp tips and larger interspaces showed greater bactericidal effects against E. coli. Surfaces with larger tip diameters had the poorest antibacterial effects. Subsequently, a finite element model was established to quantitatively analyze the mechanical interactions between bacteria and nanostructures. It was found that different nanostructures affect bacterial adhesion and growth by altering the contact area with bacteria and inducing stress and deformation on the cell wall. Nanostructures with smaller tip diameters reduced the attachment area to bacteria, thereby reducing bacterial adhesion strength. Nanostructures with larger interspaces induced greater stress and deformation on the cell wall, thereby enhancing bactericidal efficiency. Finally, experimental verification with L929 cells confirmed that nanostructures do not cause mechanical damage to the cells. These studies deepen our understanding of the antibacterial mechanism of biomimetic nanostructures and provide new insights for the design of optimal nanostructures. Full article
(This article belongs to the Special Issue Collection of Papers from the 2024 Material Coatings Science and Technology Symposium)
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Review

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14 pages, 4289 KiB  
Review
Application of Computer Calculation in the Study of Grain Boundary
by Longfei Pu, Chengxuan Peng, Min Zhu, Yan Li and Longxian Li
Coatings 2024, 14(7), 815; https://doi.org/10.3390/coatings14070815 - 30 Jun 2024
Viewed by 1154
Abstract
A grain boundary (GB) is a structure of great concern in materials research, which affects the mechanical properties and electrical conductivity of materials, but the microscopic thermodynamic properties of GBs cannot be explained comprehensively. In this review, we demonstrate a variety of calculation [...] Read more.
A grain boundary (GB) is a structure of great concern in materials research, which affects the mechanical properties and electrical conductivity of materials, but the microscopic thermodynamic properties of GBs cannot be explained comprehensively. In this review, we demonstrate a variety of calculation methods for GBs: density functional theory (DFT) and molecular dynamics (MDs) aim to extract the thermodynamic and kinetic properties of GBs on the atomic scale, and machine learning accelerates DFT or improves the accuracy of MDs. These methods explain the microscopic properties of a GB from different perspectives and are combined by machine learning. It is hoped that this review can inspire new ideas and provide more practical applications of computer calculations in GB engineering. Full article
(This article belongs to the Special Issue Collection of Papers from the 2024 Material Coatings Science and Technology Symposium)
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