Advances in Coating Tribology: Smart, Sustainable and High-Performance Coatings for Next-Generation Applications
A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Tribology".
Deadline for manuscript submissions: 10 January 2026 | Viewed by 928
Special Issue Editor
Interests: composite materials; material processing; surface engineering; electrochemical analysis; advanced material structurestribology; coatings; self-lubrication; additive manufacturing; tribo-corrosion; surface texturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue of Coatings titled “Advances in Coating Tribology: Smart, Sustainable, and High-Performance Coatings for Next-Generation Applications”.
This Special Issue highlights recent advancements in tribological coatings across various industries, including aerospace, automotive, nuclear, biomedical and chemical applications. With increasing demands for wear-resistant, self-lubricating and sustainable coatings, this Special Issue will serve as a valuable platform for researchers to share their latest findings and innovations.
We welcome original research articles, review papers and experimental studies that explore cutting-edge coating technologies, novel materials and tribological performance optimization.
Topics of interest include, but are not limited to, the following research areas:
- Wear-resistant coatings for harsh environments;
- Self-lubricating and adaptive coatings;
- Sustainable and eco-friendly coating technologies;
- Tribology of coatings in additive manufacturing;
- Tribocorrosion and degradation mechanisms;
- Bio-tribology: coatings for medical and biomedical applications;
- Tribology of coatings in electric vehicles and renewable energy systems;
- Artificial intelligence and computational modeling in coating tribology;
- Surface texturing and its synergy with coatings;
- High-temperature tribology and protective coatings.
We invite researchers from across the globe to contribute their work to this open access Special Issue, fostering knowledge exchange and collaboration in this rapidly evolving field. We look forward to your submissions and contributions to advancing coating tribology research.
Dr. Pradeep Menezes
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.
Keywords
- coatings for harsh environments
- self-lubricating and adaptive coatings
- sustainable and eco-friendly coating
- tribology of coatings in additive manufacturing
- coatings for medical and biomedical applications
- coatings in electric vehicles
- high-temperature tribology and protective coatings
- artificial intelligence and computational modeling in coating tribology.
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