Journal of Coating Technology and Innovation

Modeling and Simulation in Coatings

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Computational modeling plays a crucial role in simulating coating processes and predicting key properties such as morphology, adhesion, wear resistance, and thermal stability. Techniques like finite element analysis (FEA), molecular dynamics (MD), and phase-field modeling enable accurate simulations for both physical and chemical deposition methods. This in-silico approach helps researchers optimize coating design, process parameters, and material selection before experimental validation, reducing costs and accelerating innovation. AI and machine learning further enhance predictive capabilities, driving advancements in protective, functional, and smart coatings across industries.