• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI Driven Material Science for Sustainable Construction

AI Driven Material Science for Sustainable Construction

Paperback

Careers

ISBN10: 6208441986
ISBN13: 9786208441982
Publisher: LAP Lambert Academic Publishing
Published: Apr 9 2025
Pages: 136
Weight: 0.42
Height: 0.32 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

S, Vishnuvardhan

Also in

Careers