Nanostructures : properties, processing, and applications /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Verma, Gaurav (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Cambridge, MA : Elsevier, [2023]
Colección:Micro & nano technologies.
Temas:
Nanostructures.
Nanostructures > Industrial applications.
Nanostructures > Applications industrielles.
Nanostructures
Nanostructures > Industrial applications
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Title page
  • Table of Contents
  • Copyright
  • Author's biography
  • Foreword
  • Preface
  • Acknowledgments
  • 1. Introducing nanoscale: Its realm and attributes
  • 1.1. Perception, the ultramodern parameter
  • 1.2. Shapes at nanoscale
  • 1.3. Chemical, physical, and biological aspects
  • 1.4. Nature and nanotechnology
  • 2. Nanostructures: types and classifications
  • 2.1. Structures based on dimensionality
  • 2.2. The case of carbon: Nobel Prize-winning discoveries
  • 2.3. Structures differentiated based on composition
  • 2.4. Polymer nanostructures
  • 2.5. Ceramic nanostructures
  • 3. Properties and attributes
  • 3.1. Introduction
  • 3.2. Properties at nanoscale and nanomaterial properties
  • 3.3. Mechanical properties
  • 3.4. Other physical properties
  • 3.5. Optical properties
  • 3.6. Chemical properties
  • 3.7. Magnetic attributes
  • 4. Characterization techniques
  • 4.1. Introduction: man and machine
  • 4.2. Composition analysis
  • 4.3. Microscopy and imaging
  • 4.4. Structural analysis
  • 4.5. Properties and testing
  • 5. Synthesis and processing
  • 5.1. High reactivity and poor stability
  • 5.2. Importance of synthesis
  • 5.3. Chemical routes
  • 5.4. Physical methods
  • 5.5. Biological and green synthesis of nanostructures
  • 6. Artificial intelligence, machine learning, and deep learning simulations for nanostructures
  • 6.1. Introduction
  • 6.2. Simulations, modeling, and artificial intelligence
  • 6.3. The advantage of using AI: ML and DL
  • 6.4. Machine learning for nanostructures
  • 6.5. Steps to using AI: a two-dimensional flake identification
  • 6.6. Issues with using AI
  • 6.7. Future of nanostructures
  • 7. Applications of nanostructures
  • 7.1. Introduction
  • 7.2. Catalysis
  • 7.3. Medical science and healthcare
  • 7.4. Agriculture, plant nanobionics, and sustainable practices
  • 7.5. Energy: creation, conversion, and storage
  • 7.6. Environment monitoring and cleaning
  • 7.7. Replacing conventional applications
  • 8. Nanotoxicology and safety
  • 8.1. Introduction
  • 8.2. Effect on human health and organs
  • 8.3. Effect on plants
  • 8.4. Toxicity testing techniques and models
  • 8.5. Reducing toxicity, remedial measures and disposal
  • 9. Ponderable and conclusion
  • 9.1. Introduction
  • 9.2. Recapitulation
  • 9.3. Ponderable
  • 9.4. Simplification of processes and characterization
  • Appendix
  • Glossary (abbreviations)
  • Index

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