Artificial Intelligence for Safe-and-Sustainable-by-Design Nanocoatings: Environmental Monitoring, Toxicity Prediction, and Remediation Devices
A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Surface Coatings for Biomedicine and Bioengineering".
Deadline for manuscript submissions: 10 November 2026 | Viewed by 97
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid advancement of nanotechnology is transforming areas like environmental remediation and energy conversion, with nanomaterials and nanocoatings being crucial for efficient devices. However, such innovative concepts could be harmful to the environment and human health because of their potential toxicity and influence on ecosystems. The integrated approach of artificial intelligence (AI) and machine learning (ML) offers new possibilities for predictive toxicology and lifecycle optimization. This allows for more straightforward development of safer, low-toxicity nanocoatings while ensuring more efficient regulatory compliance.
This Special Issue aims to share and promote the latest breakthroughs in AI/ML-driven methods for Safe-and-Sustainable-by-Design nanocoatings. It will focus on how these methods can help reduce environmental footprints and improve practical applications. We are interested in contributions that address predictive modelling, green synthesis optimization, toxicity and hazard assessment, lifecycle analysis, and the development of functional nanodevices for environmental protection.
Topics of interest for publication include, but are not limited to, the following:
- Machine learning for toxicity, hazard, and environmental fate prediction of nanomaterials and nanocoatings
- AI/ML support for Safe and Sustainable by Design (SSbD) frameworks in nanocoating development
- Data-driven green synthesis and low-toxicity design of nanostructured coatings
- Predictive models for nanomaterial lifecycle impacts
- AI-optimized nanocoatings for environmental remediation (photocatalysis, pollutant adsorption)
- Regulatory frameworks and validation challenges for AI/ML-driven SSbD nanomaterials
We kindly invite you to contribute to this Special Issue with research articles, letters, or reviews.
Dr. Rina Patramanon
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- safe and sustainable by design
- nanocoatings
- nanomaterials
- environmental remediation
- toxicity prediction
- photocatalysis
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