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ویرایش:
نویسندگان: Lisa Hall. Valeriy Ginzburg
سری:
ISBN (شابک) : 9783030604424, 9783030604431
ناشر:
سال نشر: 2021
تعداد صفحات: [330]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 15 Mb
در صورت تبدیل فایل کتاب Theory and Modeling of Polymer Nanocomposites به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تئوری و مدل سازی نانوکامپوزیت های پلیمری نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Contents Contributors 1 Polymer Reference Interaction Site Model (PRISM) Theory and Molecular Simulation Studies of Polymer Nanocomposites 1.1 Introduction 1.2 Relevant Past Experimental and Computational Studies on PNCs 1.3 PRISM Theory 1.3.1 Basics 1.3.2 Linking to Molecular Simulation 1.3.3 Open-Source Package pyPRISM 1.4 Past, Present, and Future of PRISM Theory-Based PNC Studies 1.5 Limitations of PRISM Theory 1.6 Conclusions References 2 Density Functional Theory-Based Modeling of Polymer Nanocomposites 2.1 Introduction 2.2 DFT Overview 2.3 Applications of DFT to PNCs 2.3.1 Polymers and Nanospheres 2.3.2 Polymers and Nanorods 2.3.3 Polymers and Nanoplatelets 2.4 The SCF-DFT Approach 2.4.1 Nanoparticles in Block Copolymers—Bulk and Films 2.4.2 “Giant Surfactants”—Single-Ligand Nanoparticles 2.4.3 “Hairy Nanoparticles”—Single-Component Assemblies and Mixtures with Polymers 2.5 Summary and Outlook References 3 Coarse-Grained Modeling of Polymer Nanocomposites: Field-Theoretic Simulations 3.1 Introduction 3.2 Standard Field Theory—Compressible Diblock with Homopolymer 3.3 Hybrid Particle-Field Theory— Explicit Nanospheres 3.4 Field-Based Nanospheres and Finite-Segment Polymers 3.4.1 Recent Results 3.5 Field-Based Nanorods 3.5.1 Recent Results 3.6 Homopolymer Grafted Nanoparticles 3.7 Complex Grafted Nanoparticles 3.7.1 Recent Applications 3.8 General Interparticle Potentials 3.8.1 Adsorbing Diblock Copolymer 3.9 Theoretically-Informed Langevin Dynamics (TILD) 3.9.1 Recent Applications 3.10 Comparison of the Different Methods 3.11 Challenges and Area for Development References 4 Polymer Dynamics in Polymer- Nanoparticle Interface 4.1 Introduction 4.2 Polymer Dynamics Around Spherical or Anisotropic Nanoparticles 4.2.1 Experiments 4.2.2 Simulations 4.3 Polymer Dynamics Around a Flat Surface 4.3.1 Experiments 4.3.2 Simulations 4.4 Conclusions References 5 The Interfacial Layers Around Nanoparticle and Its Impact on Structural Relaxation and Glass Transition in Model Polymer Nanocomposites 5.1 Introduction 5.2 Modeling and Simulations 5.3 Interfacial Zone Around Nanoparticles in Nanocomposites and Near Substrate in Thin Polymer Films 5.3.1 Qualitative Description of the Influence of Interfacial Interactions on Mobility Near Interfaces 5.3.2 Mobility Gradient Near Interfaces 5.3.3 Density Gradient Near Interfaces and Its Scale ξρ 5.3.4 Comparison Between Interfacial Mobility and Density Scales 5.4 Effects of Bound Interfacial Layer Around NP and Near Substrate on Polymer Relaxation and Overall Tg 5.4.1 Influence of Interface Interaction on Polymer Relaxation 5.4.2 Effect of Interfacial Interaction Strength on Tg Estimates from Thermodynamic and Dynamic Methods 5.5 Conclusions References 6 Multiscale Modeling Examples: New Polyelectrolyte Nanocomposite Membranes for Perspective Fuel Cells and Flow Batteries 6.1 Introduction 6.2 Multiscale Modeling of Polyelectrolyte Membranes and Their Transport Properties 6.3 Confined Film Model of a Nanocomposite Membrane 6.4 Atomistic Simulations of Nafion/Graphene Oxide Membranes 6.5 Modeling of Doped Non-humidified Membranes 6.6 Mesoscopic Simulations and Simulated Example: SPEEK Membrane 6.7 Summary References 7 Explorations into the Mechanics of Hairy Nanoparticle Assemblies with Molecular Dynamics 7.1 Introduction 7.2 Energy Renormalization (ER) Approach to Coarse-Graining 7.2.1 ER Methodology 7.2.2 Validation of ER Approach 7.3 Modeling of Hairy Nanoparticle Assemblies 7.3.1 System Setup 7.3.2 Simulation Protocols 7.3.3 Mechanical Property Characterization 7.3.4 Evaluating Polymer Conformational Behavior 7.4 Mesoscale Modeling of aHNPs 7.4.1 PMF-Based Approach 7.4.2 Functional Form of Effective Interactions 7.5 Conclusion References 8 Predicting Mechanical Properties Using Continuum Mechanics-Based Approach: Micro-mechanics and Finite Element Analysis 8.1 Introduction 8.2 Discrete-Medium Modeling Tools 8.3 Continuous-Medium Modeling Tools 8.3.1 Analytical Modeling: Micro-mechanics 8.3.2 Comparison of the Different Analytical Micro-mechanical Models 8.3.3 Laminate Plate Theory 8.4 Computational Modeling: Finite Element Analysis (FEA) 8.4.1 Computational Micro-mechanics 8.5 Multiscale Modeling Concepts 8.5.1 Bottom-Up Approach: Equivalent Continuum 8.5.2 Top-Down Approach 8.5.3 Concurrent Modeling 8.6 Summary References 9 Modeling the Thermal Conductivity of Polymer-Inorganic Nanocomposites 9.1 Introduction 9.2 Thermal Conductivities of Typical Polymers and Fillers 9.2.1 Polymers 9.2.2 Fillers 9.3 Analytical Theories and Micromechanical Models 9.3.1 The Parallel and Series Models as the Upper and Lower Limit Estimates 9.3.2 EMA for Spherical Fillers 9.3.3 Non-spherical Fillers 9.3.4 Bruggeman Model 9.3.5 Combined Approaches 9.4 Computer Simulations 9.4.1 Finite Element Modeling 9.4.2 Interfacial Thermal Resistance Modeling 9.4.3 Multiscale Modeling 9.5 Summary and Outlook References 10 Predicting the Optical and Electrical Properties of Polymer Nanocomposites 10.1 Introduction 10.2 Calculation of Optical Properties 10.2.1 Mie Theory Applied to Polymer Nanocomposites 10.2.2 The Discrete Dipole Approximation (DDA) 10.2.3 Finite-Difference Time-Domain (FDTD) Method 10.3 Calculation of Electrical Properties 10.3.1 Resistor Network Models 10.3.2 The Poisson-Nernst-Planck (PNP) Formalism 10.4 Summary and Outlook References 11 Data-Driven Multiscale Science for Tire Compounding: Methods and Future Directions 11.1 Introduction 11.1.1 Early Laboratory Compound Design Concepts 11.1.2 Chapter Scope 11.2 Methods Framework 11.2.1 Simple Representations of Filled Soft Composites 11.2.2 Filler Microstructure Statistical Characterization and Stochastic Reconstruction 11.2.3 Nanocomposite Properties and Statistical Study of the Representative Volume Element 11.2.4 Summary 11.3 Future Directions 11.3.1 Material Informatics and Cheminformatics 11.3.2 Machine Learning 11.3.3 Summary References Index