AI Driven Material Science for Sustainable Construction

Bys: S, Vishnuvardhan, E, Senthilkumar, U, Nirmalambal

Artificial Intelligence (AI) has revolutionized numerous fields, including material science, by enabling faster discovery, enhanced performance evaluation, and optimized material utilization. The construction industry, a critical sector responsible for global infrastructure, is experiencing a paradigm shift as AI-driven material science emerges as a cornerstone for sustainable development. The integration of AI in material science facilitates the design of innovative, eco-friendly materials that enhance durability, efficiency, and environmental sustainability.The traditional approach to material discovery often involves extensive trial-and-error experiments, which can be time-consuming and resource-intensive. AI, with its computational power and advanced algorithms, streamlines this process by predicting material properties, optimizing compositions, and identifying sustainable alternatives. Machine learning models, neural networks, and deep learning techniques enable researchers to analyze vast datasets, recognizing complex patterns that would be difficult to discern through conventional methods.

• Format: Paperback
• Language: English
• ISBN: 6208441986
• ISBN13: 9786208441982
• Release Date: April 2025
• Publisher: LAP Lambert Academic Publishing
• Length: 136 Pages
• Weight: 0.42 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"