Sophisticated technologies play a growing part in materials science. Artificial Intelligence in Polymer Science offers a comprehensive examination of the impact of artificial intelligence on polymer research and nanotechnology, encompassing AI-facilitated polymer synthesis and characterisation, as well as novel applications in drug delivery systems, nanomaterial design, and polymer informatics. This book provides insightful information on both present developments and potential future directions, with each chapter addressing subjects including AI-powered polymer sequence design, autonomous labs, and machine learning in material simulations. Professionals in the field will gain from pragmatic illustrations and innovative methodologies, rendering it a vital resource for researchers, engineers, and advanced scholars. This thorough understanding will transform the way AI integrates polymers and nanotechnology, spurring innovation and improving material properties—all of which will have a major impact on applications in the fields of healthcare, business, and the environment.

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Yes, you can access Artificial Intelligence in Polymer Science and Nanotechnology by Rishabha Malviya,Sonali Sundram,Sathvik Belagodu Sridhar,Shivam Rajput in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

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Artificial Intelligence (AI) & Semantics

Title Page
Copyright
Contents
Frontmatter
Contents
List of contributing authors
Chapter 1 Nanotechnology innovation: AI-enhanced polymer drug delivery systems
Chapter 2 Machine learning applications in material science: unveiling innovative solutions
Chapter 3 Machine learning for material simulation: revolutionizing polymer science
Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences
Chapter 5 AI-powered polymer sequence design: applications and innovations
Chapter 6 Exploring the relationship between structure and properties in polymer blends using deep learning techniques
Chapter 7 Predicting polymer properties: machine learning insights from Polymer Genome
Chapter 8 AI-driven development: innovating biomedical polymer materials
Chapter 9 Predictive precision: AI-enhanced measurement of mechanical properties in nanostructured polymer composites
Chapter 10 Artificial intelligence in polymer molding and extrusion
Chapter 11 Discovering new frontiers: material explorations with AI and polymers
Chapter 12 Advancing nanomaterial safety: AI in toxicity and environmental assessments
Chapter 13 Innovative approaches in drug delivery systems (DDS) leveraging AI and advanced material characterization
Chapter 14 Robotics innovations in nanotechnology: redefining polymer science with AI
Index
Index

About this book

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Table of contents