AI-Driven Polymer Design

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AI-Driven Polymer Design

Structure, Properties, and Applications

Condensed matter physics (liquid state and solid state physics) Mathematical physics Engineering applications of polymers and composites Artificial intelligence Machine learning

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Collection: Engineering Materials

Language: English

Published by: Springer

Published on: 13th May 2026

Format: LCP-protected ePub

ISBN: 9789819583539


Overview

This book highlights how artificial intelligence (AI) is transforming the design, analysis, and application of polymers in modern science and industry.

AI Technologies in Polymers

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.

Understanding Polymer Properties

It covers the role of AI in understanding the relationship between the molecular structure of polymers and their physical, chemical, and mechanical properties.

Design and Development

By integrating advanced AI models, the book demonstrates how new polymeric materials can be designed more efficiently, with tailored properties for targeted applications.

Insights and Case Studies

It offers both theoretical and practical insights into AI algorithms, predictive modeling, polymer property analysis, and case studies.

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