
Artificial Intelligence in Polymer Science and Nanotechnology
Autonomous Labs, Polymer Design, Materials Simulation
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence in Polymer Science and Nanotechnology
Autonomous Labs, Polymer Design, Materials Simulation
About this book
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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Information
Table of contents
- 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
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