AI-Driven Polymer Design : Structure, Properties, and Applications (Engineering Materials)

Sharma, Bhasha (EDT)/ Chaudhary, Vijay (EDT)/ Ahlawat, Chanchal (EDT)

Springer Verlag, Singapore（2026/05発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819583522

Full Description

This book highlights how artificial intelligence (AI) is transforming the design, analysis, and application of polymers in modern science and industry. AI technologies, including machine learning (ML) and deep learning, have revolutionized the discovery, prediction, and optimization of polymers, enabling the rapid development of materials with specific properties suited for various applications such as healthcare, energy, and electronics. It covers the role of AI in understanding the relationship between the molecular structure of polymers and their physical, chemical, and mechanical properties. By integrating advanced AI models, the book demonstrates how new polymeric materials can be designed more efficiently, with tailored properties for targeted applications. It offers both theoretical and practical insights into AI algorithms, predictive modeling, polymer property analysis, and case studies.

Contents

Introduction to AI in Polymer Design.- Structure-Property Relationships in Polymers.- Machine Learning for Polymer Property Prediction.- AI-Driven Optimization of Polymer Structure.- Computational Tools for AI in Polymer Science.- Real-World Applications of AI-Designed Polymers.- Challenges in AI-Driven Polymer Design.- Future Trends in AI and Polymer Science.