Computational Modeling Of Intelligent Soft Matter eBook Download PDF

Download Computational Modeling Of Intelligent Soft Matter full books in PDF, epub, and Kindle. Read online Computational Modeling Of Intelligent Soft Matter ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computational Modeling of Intelligent Soft Matter

Author: Mostafa Baghani

Publisher: Elsevier

Published: 2023-02-15

Total Pages: 383

ISBN-13: 0443194211

DOWNLOAD EBOOK

Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multiphysics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/ chemosensitive hydrogels. Several thermo–chemo-mechanical constitutive models for these smart polymers are outlined, and their real-world applications are highlighted. The numerical counterpart of each introduced constitutive model is also presented, empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made of them. Introduces constitutive models based on continuum thermodynamics for intelligent soft materials Presents calibration methods for identifying material model parameters as well as finite element implementation of the featured models Allows readers to solve practical problems requiring thermomechanical responses from these materials as well as the design and analysis of real-world structures made of them

Book Synopsis Computational Modeling of Intelligent Soft Matter by : Mostafa Baghani

Download or read book Computational Modeling of Intelligent Soft Matter written by Mostafa Baghani and published by Elsevier. This book was released on 2023-02-15 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multiphysics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/ chemosensitive hydrogels. Several thermo–chemo-mechanical constitutive models for these smart polymers are outlined, and their real-world applications are highlighted. The numerical counterpart of each introduced constitutive model is also presented, empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made of them. Introduces constitutive models based on continuum thermodynamics for intelligent soft materials Presents calibration methods for identifying material model parameters as well as finite element implementation of the featured models Allows readers to solve practical problems requiring thermomechanical responses from these materials as well as the design and analysis of real-world structures made of them

Applied Computational Materials Modeling

Author: Guillermo Bozzolo

Publisher: Springer Science & Business Media

Published: 2007-12-19

Total Pages: 502

ISBN-13: 0387345655

DOWNLOAD EBOOK

The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.

Book Synopsis Applied Computational Materials Modeling by : Guillermo Bozzolo

Download or read book Applied Computational Materials Modeling written by Guillermo Bozzolo and published by Springer Science & Business Media. This book was released on 2007-12-19 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.

Ontology, Epistemology, and Teleology for Modeling and Simulation

Author: Andreas Tolk

Publisher: Springer Science & Business Media

Published: 2012-08-10

Total Pages: 379

ISBN-13: 3642311407

DOWNLOAD EBOOK

In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications. It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence. As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.

Book Synopsis Ontology, Epistemology, and Teleology for Modeling and Simulation by : Andreas Tolk

Download or read book Ontology, Epistemology, and Teleology for Modeling and Simulation written by Andreas Tolk and published by Springer Science & Business Media. This book was released on 2012-08-10 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications. It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence. As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.

Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

Author: Okyay Kaynak

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 552

ISBN-13: 3642589308

DOWNLOAD EBOOK

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

Book Synopsis Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications by : Okyay Kaynak

Download or read book Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications written by Okyay Kaynak and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

Mathematical and Computational Modeling and Simulation

Author: Dietmar P.F. Möller

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 438

ISBN-13: 3642187099

DOWNLOAD EBOOK

This introduction and textbook familiarizes engineers with the use of mathematical and computational modeling and simulation in a way that develops their understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some fifteen simulation systems are presented on the language and the logical level. Moreover, the reader also can accumulate an experiential overview by studying the wide variety of case studies spanning much of science and engineering. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for courses on various levels as well as for self-study. Advanced sections are identified and can be skipped in a first reading or in undergraduate courses.

Book Synopsis Mathematical and Computational Modeling and Simulation by : Dietmar P.F. Möller

Download or read book Mathematical and Computational Modeling and Simulation written by Dietmar P.F. Möller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction and textbook familiarizes engineers with the use of mathematical and computational modeling and simulation in a way that develops their understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some fifteen simulation systems are presented on the language and the logical level. Moreover, the reader also can accumulate an experiential overview by studying the wide variety of case studies spanning much of science and engineering. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for courses on various levels as well as for self-study. Advanced sections are identified and can be skipped in a first reading or in undergraduate courses.

Computational Modeling and Simulation of Quadrupedal Animal Movement

Author: Gina Bertocci

Publisher: Frontiers Media SA

Published: 2022-08-17

Total Pages: 239

ISBN-13: 2889767817

DOWNLOAD EBOOK

Book Synopsis Computational Modeling and Simulation of Quadrupedal Animal Movement by : Gina Bertocci

Download or read book Computational Modeling and Simulation of Quadrupedal Animal Movement written by Gina Bertocci and published by Frontiers Media SA. This book was released on 2022-08-17 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Computer Simulation Approaches for Soft Matter Sciences II

Author: Christian Holm

Publisher: Springer Science & Business Media

Published: 2005-11-10

Total Pages: 272

ISBN-13: 9783540260912

DOWNLOAD EBOOK

This series presents critical reviews of the present and future trends in polymer and biopolymer science including chemistry, physical chemistry, physics and materials science. It is addressed to all scientists at universities and in industry who wish to keep abreast of advances in the topics covered. Impact Factor Ranking: Always number one in Polymer Science. More information as well as the electronic version of the whole content available at: www.springerlink.com

Book Synopsis Advanced Computer Simulation Approaches for Soft Matter Sciences II by : Christian Holm

Download or read book Advanced Computer Simulation Approaches for Soft Matter Sciences II written by Christian Holm and published by Springer Science & Business Media. This book was released on 2005-11-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series presents critical reviews of the present and future trends in polymer and biopolymer science including chemistry, physical chemistry, physics and materials science. It is addressed to all scientists at universities and in industry who wish to keep abreast of advances in the topics covered. Impact Factor Ranking: Always number one in Polymer Science. More information as well as the electronic version of the whole content available at: www.springerlink.com

Advanced Computer Simulation Approaches for Soft Matter Sciences I

Author: Christian Holm

Publisher: Springer Science & Business Media

Published: 2005-02-14

Total Pages: 296

ISBN-13: 9783540220589

DOWNLOAD EBOOK

Soft matter science is nowadays an acronym for an increasingly important class of materials, which ranges from polymers, liquid crystals, colloids up to complex macromolecular assemblies, covering sizes from the nanoscale up the microscale. Computer simulations have proven as an indispensable, if not the most powerful, tool to understand properties of these materials and link theoretical models to experiments. In this first volume of a small series recognized leaders of the field review advanced topics and provide critical insight into the state-of-the-art methods and scientific questions of this lively domain of soft condensed matter research.

Book Synopsis Advanced Computer Simulation Approaches for Soft Matter Sciences I by : Christian Holm

Download or read book Advanced Computer Simulation Approaches for Soft Matter Sciences I written by Christian Holm and published by Springer Science & Business Media. This book was released on 2005-02-14 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft matter science is nowadays an acronym for an increasingly important class of materials, which ranges from polymers, liquid crystals, colloids up to complex macromolecular assemblies, covering sizes from the nanoscale up the microscale. Computer simulations have proven as an indispensable, if not the most powerful, tool to understand properties of these materials and link theoretical models to experiments. In this first volume of a small series recognized leaders of the field review advanced topics and provide critical insight into the state-of-the-art methods and scientific questions of this lively domain of soft condensed matter research.

Materials Design Using Computational Intelligence Techniques

Author: Shubhabrata Datta

Publisher: CRC Press

Published: 2016-10-26

Total Pages: 185

ISBN-13: 1482238330

DOWNLOAD EBOOK

Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

Book Synopsis Materials Design Using Computational Intelligence Techniques by : Shubhabrata Datta

Download or read book Materials Design Using Computational Intelligence Techniques written by Shubhabrata Datta and published by CRC Press. This book was released on 2016-10-26 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

Computational Models in Architecture

Author: Nikola Marinčić

Publisher: Birkhäuser

Published: 2019-04-18

Total Pages: 296

ISBN-13: 3035618623

DOWNLOAD EBOOK

This scientific work focuses on computer-aided computational models in architecture. The author initially investigates established computational models and then expands these with newer approaches to modeling. In his research the author integrates approaches to analytical philosophy, probability theory, formal logic, quantum physics, abstract algebra, computer-aided design, computer graphics, glossematics, machine learning, architecture, and others. For researchers in the fields of information technology and architecture.

Book Synopsis Computational Models in Architecture by : Nikola Marinčić

Download or read book Computational Models in Architecture written by Nikola Marinčić and published by Birkhäuser. This book was released on 2019-04-18 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This scientific work focuses on computer-aided computational models in architecture. The author initially investigates established computational models and then expands these with newer approaches to modeling. In his research the author integrates approaches to analytical philosophy, probability theory, formal logic, quantum physics, abstract algebra, computer-aided design, computer graphics, glossematics, machine learning, architecture, and others. For researchers in the fields of information technology and architecture.