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1. |
Record Nr. |
UNINA9910829924803321 |
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Autore |
Gujrati Purushottam D |
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Titolo |
Modeling and simulation in polymers [[electronic resource] /] / Purushottam D. Gujrati and Arkadii I. Leonov |
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Pubbl/distr/stampa |
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Weinheim, : Wiley-VCH Verlag, 2010 |
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ISBN |
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1-282-68802-2 |
9786612688027 |
3-527-63025-2 |
3-527-63026-0 |
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Descrizione fisica |
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1 online resource (565 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Polymers - Mathematical models |
Polymerization - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Modeling and Simulation in Polymers; Contents; Preface; List of Contributors; 1 Computational Viscoelastic Fluid Mechanics and Numerical Studies of Turbulent Flows of Dilute Polymer Solutions; 1.1 Introduction and Historical Perspective; 1.2 Governing Equations and Polymer Modeling; 1.3 Numerical Methods for DNS; 1.3.1 Spectral Methods: Influence Matrix Formulation; 1.3.1.1 The Semi-Implicit/Explicit Scheme; 1.3.1.2 The Fully Implicit Scheme; 1.3.1.3 Typical Simulation Conditions; 1.3.2 The Positive Definiteness of the Conformation Tensor |
1.4 Effects of Flow, Rheological, and Numerical Parameters on DNS of Turbulent Channel Flow of Dilute Polymer Solutions1.4.1 Drag Reduction Evaluation; 1.4.2 Effects of Flow and Rheological Parameters; 1.4.3 Effects of Numerical Parameters; 1.5 Conclusions and Thoughts on Future Work; References; 2 Modeling of Polymer Matrix Nanocomposites; 2.1 Introduction; 2.2 Polymer Clay Nanocomposites and Coarse-Grained Models; 2.2.1 Coarse-Grained Components; 2.2.2 Methods and Timescales; 2.2.2.1 Off-Lattice (Continuum) Approach; 2.2.2.2 Discrete Lattice Approach; 2.2.2.3 Hybrid Approach |
2.2.3 Coarse-Grained Sheet2.2.3.1 Conformation and Dynamics of a |
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Sheet; 2.2.4 Coarse-Grained Studies of Nanocomposites; 2.2.4.1 Probing Exfoliation and Dispersion; 2.2.5 Platelets in Composite Matrix; 2.2.5.1 Solvent Particles; 2.2.5.2 Polymer Matrix; 2.2.6 Conclusions and Outlook; 2.3 All-Atom Models for Interfaces and Application to Clay Minerals; 2.3.1 Force Fields for Inorganic Components; 2.3.1.1 Atomic Charges; 2.3.1.2 Lennard-Jones Parameters; 2.3.1.3 Bonded Parameters |
2.3.2 Self-Assembly of Alkylammonium Ions on Montmorillonite: Structural and Surface Properties at the Molecular Level2.3.3 Relationship Between Packing Density and Thermal Transitions of Alkyl Chains on Layered Silicate and Metal Surfaces; 2.4 Interfacial Thermal Properties of Cross-Linked Polymer-CNT Nanocomposites; 2.4.1 Model Building; 2.4.2 Thermal Conductivity; 2.5 Conclusion; References; 3 Computational Studies of Polymer Kinetics Galina Litvinenko; 3.1 Introduction; 3.2 Batch Polymerization; 3.2.1 Ideal Living Polymerization; 3.2.2 Effect of Chain Transfer Reactions |
3.2.3 Chain Transfer to Solvent3.2.4 Multifunctional Initiators; 3.2.5 Chain Transfer to Polymer; 3.2.6 Chain Transfer to Monomer; 3.3 Continuous Polymerization; 3.3.1 MWD of Living Polymers Formed in CSTR; 3.3.2 Chain Transfer to Solvent; 3.3.3 Chain Transfer to Monomer; 3.3.4 Chain Transfer to Polymer; 3.4 Conclusions; References; 4 Computational Polymer Processing; 4.1 Introduction; 4.1.1 Polymer Processing; 4.1.2 Historical Notes on Computations; 4.2 Mathematical Modeling; 4.2.1 Governing Conservation Equations; 4.2.2 Constitutive Equations; 4.2.3 Dimensionless Groups |
4.2.4 Boundary Conditions |
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Sommario/riassunto |
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Filling a gap in the literature and all set to become the standard in this field, this monograph begins with a look at computational viscoelastic fluid mechanics and studies of turbulent flows of dilute polymer solutions. It then goes on discuss simulations of nanocomposites, polymerization kinetics, computational approaches for polymers and modeling polyelectrolytes. Further sections deal with tire optimization, irreversible phenomena in polymers, the hydrodynamics of artificial and bacterial flagella as well as modeling and simulation in liquid crystals.The result is invaluable reading f |
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2. |
Record Nr. |
UNINA9910811418603321 |
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Autore |
Tingley Nancy <1948-> |
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Titolo |
A head in Cambodia : a Jenna Murphy mystery / / Nancy Tingley |
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Pubbl/distr/stampa |
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Athens, Ohio : , : Swallow Press, , 2017 |
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©2017 |
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ISBN |
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Descrizione fisica |
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1 online resource (323 pages) |
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Collana |
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Classificazione |
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Disciplina |
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Soggetti |
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Women detectives |
Museum curators |
Art - Collectors and collecting |
Murder - Investigation |
Art, Southeast Asian |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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When the alluring, eleventh-century Cambodian stone head of Radha, consort to Krishna, shows up at the Searles Museum, young curator Jenna Murphy doesn't suspect that it will lead her to a murder. |
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3. |
Record Nr. |
UNINA9910483000003321 |
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Titolo |
Machine Learning with Health Care Perspective : Machine Learning and Healthcare / / edited by Vishal Jain, Jyotir Moy Chatterjee |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (418 pages) |
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Collana |
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Learning and Analytics in Intelligent Systems, , 2662-3447 ; ; 13 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Biomedical engineering |
Computational Intelligence |
Biomedical Engineering and Bioengineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Machine learning for Healthcare: Introduction -- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications -- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning -- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization -- Chapter 5: Machine Learning for Healthcare Diagnostics -- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique -- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender -- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis -- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology -- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis -- Chapter 11: Medical Text and image processing: Applications, issues and challenges -- Chapter 12: Machine Learning Methods for Managing Parkinson’s Disease -- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias -- Chapter 14: Clinical decision support systems and predictive analytics -- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and |
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Computational Study -- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning. |
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Sommario/riassunto |
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This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. |
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