Advanced Methods And Mathematical Modeling Of Biofilms
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Advanced Methods and Mathematical Modeling of Biofilms
Author: Mojtaba Aghajani Delavar
language: en
Publisher: Academic Press
Release Date: 2022-05-14
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. - 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
Advanced Mathematical Methods
The many technical and computational problems that appear to be constantly emerging in various branches of physics and engineering beg for a more detailed understanding of the fundamental mathematics that serves as the cornerstone of our way of understanding natural phenomena. The purpose of this Special Issue was to establish a brief collection of carefully selected articles authored by promising young scientists and the world's leading experts in pure and applied mathematics, highlighting the state-of-the-art of the various research lines focusing on the study of analytical and numerical mathematical methods for pure and applied sciences.
Recent Trends in Lignocellulosic Biofuels and Bioenergy
This book offers a comprehensive exploration of recent trends in lignocellulosic biofuels, focusing on advancements and sustainability assessments. Edited by leading experts, it provides an in-depth analysis of biofuel production from lignocellulosic biomass, highlighting the latest technological innovations and their environmental impacts. The chapters cover a range of critical topics, including the life cycle assessment of biofuels, the socio-economic implications of bioenergy, and the integration of artificial intelligence in biofuel production. The chapters delve into the environmental, energetic, and economic perspectives of biofuels as sustainable alternatives to fossil fuels. Readers will gain insights into the challenges and solutions for biofuel production, including the role of machine learning and global policy frameworks. This volume is essential for researchers, professionals, and students in the biofuels sector. It offers valuable perspectives on the future of bioenergy, making it a must-read for anyone interested in sustainable energy solutions. Whether you're a policymaker, academic, or industry professional, this book provides the knowledge and tools needed to navigate the evolving landscape of biofuels and bioenergy.