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Artificial Intelligence Aided Design of Microtextured Surfaces: Application to Controlling Wettability
Andrés Díaz Lantada1, Francisco Franco-Martínez1, Stefan Hengsbach2
1Product Development Laboratory, Mechanical Engineering Department, Universidad Politécnica de Madrid, c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain.
Nanomaterials (Basel, Switzerland)
|November 21, 2020
Summary
Artificial intelligence (AI) aids in designing novel biointerfaces by controlling surface wettability. AI predicts the performance of hierarchical surfaces, accelerating materials engineering for biomedical applications.
Area of Science:
- Materials Science
- Biomedical Engineering
- Artificial Intelligence
Background:
- AI is a powerful tool for materials engineering, but its application in designing material textures, particularly biointerfaces, remains underexplored.
- Controlling surface wettability is crucial for biomedical applications, often achieved through engineered hierarchical surfaces.
Purpose of the Study:
- To explore the potential of AI in discovering innovative biointerfaces and engineering material surfaces.
- To focus on controlling wettability using design-controlled hierarchical surfaces.
- To leverage artificial neural networks (ANN) for AI-aided design and performance prediction of these surfaces.
Main Methods:
- Creation of a comprehensive library of microtextured surfaces with characterized wettability properties.
- Processing this library to generate and train artificial neural networks (ANN).
- Utilizing the trained ANN to predict the wetting performance of newly designed biointerfaces.
Main Results:
- Demonstrated the capability of AI to support the engineering of innovative hierarchical or multiscale surfaces.
- Successfully predicted the wetting performance of biointerfaces using trained ANNs.
- Highlighted AI's utility in managing complex-to-model phenomena like wettability.
Conclusions:
- AI significantly enhances the design and prediction of hierarchical surfaces for controlling wettability.
- This approach accelerates the development of advanced biointerfaces for biomedical applications.
- AI provides a powerful framework for materials engineering involving complex surface properties.
