Cover for Advanced Methods and Mathematical Modeling of Biofilms

Advanced Methods and Mathematical Modeling of Biofilms

Applications in health care, medicine, food, aquaculture, environment, and industry

Book2022

Authors:

Mojtaba Aghajani Delavar and Junye Wang

Advanced Methods and Mathematical Modeling of Biofilms

Applications in health care, medicine, food, aquaculture, environment, and industry

Book2022

 

Cover for Advanced Methods and Mathematical Modeling of Biofilms

Authors:

Mojtaba Aghajani Delavar and Junye Wang

Book description

Advanced Mathematical Modelling of Biofilms and its Applications covers the concepts and fundamentals of biofilms, including sections on numerical discrete and numerical continuum ... read full description

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    Chapter 1 - Introduction

    Pages 1-21

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    Chapter 2 - Concept and fundamentals of biofilms

    Pages 23-61

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    Chapter 3 - Kinetic models

    Pages 63-89

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    Chapter 4 - Continuum models

    Pages 91-118

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    Chapter 5 - Discrete models

    Pages 119-152

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    Chapter 6 - Hybrid lattice Boltzmann continuum–discrete models

    Pages 153-193

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    Chapter 7 - Bioreactor concepts, types, and modeling

    Pages 195-245

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    Index

    Pages 247-251

About the book

Description

Advanced Mathematical Modelling of Biofilms and its Applications covers the concepts and fundamentals of biofilms, including sections on numerical discrete and numerical continuum models and different biofilms methods, e.g., the lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM). Other sections focus on design, problem-solving and state-of-the-art modelling methods. Addressing the needs to upgrade and update information and knowledge for students, researchers and engineers on biofilms in health care, medicine, food, aquaculture and industry, this book also covers areas of uncertainty and future needs for advancing the use of biofilm models.

Over the past 25-30 years, there have been rapid advances in various areas of computer technologies, applications and methods (e.g. complex programming and algorithms, lattice Boltzmann method, high resolution visualization and high-performance computation). These new and emerging technologies are providing unprecedented opportunities to develop modeling frameworks of biofilms and their applications.

Advanced Mathematical Modelling of Biofilms and its Applications covers the concepts and fundamentals of biofilms, including sections on numerical discrete and numerical continuum models and different biofilms methods, e.g., the lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM). Other sections focus on design, problem-solving and state-of-the-art modelling methods. Addressing the needs to upgrade and update information and knowledge for students, researchers and engineers on biofilms in health care, medicine, food, aquaculture and industry, this book also covers areas of uncertainty and future needs for advancing the use of biofilm models.

Over the past 25-30 years, there have been rapid advances in various areas of computer technologies, applications and methods (e.g. complex programming and algorithms, lattice Boltzmann method, high resolution visualization and high-performance computation). These new and emerging technologies are providing unprecedented opportunities to develop modeling frameworks of biofilms and their applications.

Key Features

  • Introduces state-of-the-art methods of biofilm modeling, such as integrated lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM)
  • Provides recent progress in more powerful tools for a deeper understanding of biofilm complexity by implementing state-of-the art biofilm modeling programs
  • Compares advantages and disadvantages of different biofilm models and analyzes some specific problems for model selection
  • Evaluates novel process designs without the cost, time and risk of building a physical prototype of the process to identify the most promising designs for experimental testing
  • Introduces state-of-the-art methods of biofilm modeling, such as integrated lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM)
  • Provides recent progress in more powerful tools for a deeper understanding of biofilm complexity by implementing state-of-the art biofilm modeling programs
  • Compares advantages and disadvantages of different biofilm models and analyzes some specific problems for model selection
  • Evaluates novel process designs without the cost, time and risk of building a physical prototype of the process to identify the most promising designs for experimental testing

Details

ISBN

978-0-323-85690-4

Language

English

Published

2022

Copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Imprint

Academic Press

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Authors

Mojtaba Aghajani Delavar

Research Fellow, Athabasca University, Athabasca, Alberta, Canada

Junye Wang

Professor, Athabasca University, Athabasca, Alberta, Canada

Research Chair, Campus Alberta Innovation Program (CAIP), Athabasca University, Athabasca, Alberta, Canada