Coatings Design and Characterization Using AI and Machine Learning Methods
A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Surface Characterization, Deposition and Modification".
Deadline for manuscript submissions: 10 February 2026 | Viewed by 10
Special Issue Editor
Interests: surface modification and treatment; coatings properties and characterization; bioactive and biocompatible coatings; anti-corrosive and anti-friction coatings; nanostructured surface modification; additive manufacture of coatings; machine learning in coating properties
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the integration of artificial intelligence (AI) and machine learning (ML) in the design, characterization, and optimization of coatings. It invites research papers that explore how AI/ML can enhance the development of new coatings, improve performance predictions, and streamline processes. Key themes include AI-driven coatings design, predictive modeling, advanced characterization, digital twins, and smart coatings. This Special Issue aims to showcase how AI/ML can accelerate innovation in the coatings industry, from sustainable materials development to autonomous systems for coating application and quality control.
This Special Issue will serve as a forum for papers covering the following themes:
- AI-driven coatings design and optimization;
- Predictive modeling for coatings performance;
- Advanced characterization of coatings with AI/ML integration;
- Digital twins and virtual testing of coatings;
- AI in additive manufacturing and functional coatings;
- Sustainable and environmentally friendly coatings through AI;
- Data-driven approaches to coatings development;
- AI-powered multi-scale modeling and simulation of coatings;
- AI for smart coatings and autonomous systems;
- AI in coating process optimization and quality control.
Dr. Yuyun Yang
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 design
- material characterization
- artificial intelligence (AI)
- machine learning (ML)
- data-driven design
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