Machine Learning Techniques to Analyze the Influence of Silica on the Physico-Chemical Properties of Aerogels

Machine Learning Techniques to Analyze the Influence of Silica on the Physico-Chemical Properties of Aerogels

This study explores the application of machine learning techniques, specifically principal component analysis (PCA), to analyze the influence of silica content on the physical and chemical properties of aerogels. Silica aerogels are renowned for their exceptional properties, including high porosity,...

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Bibliographic Details
Main Authors: Hamdi Chaouk, Emil Obeid, Jalal Halwani, Jack Arayro, Rabih Mezher, Omar Mouhtady, Eddie Gazo-Hanna, Semaan Amine, Khaled Younes
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Gels
Subjects:
silica aerogels
composite
principal component analysis
physical properties
Online Access:https://www.mdpi.com/2310-2861/10/9/554
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