Overview
- Utilizes a multidisciplinary approach to develop a quantitative understanding of an active area of research
- Connects basic physical, biological, and physiological concepts to methods for modeling different materials
- Written to be accessible to both non-specialists and experienced researchers
Part of the book series: Nečas Center Series (NECES)
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About this book
This edited volume connects basic physical, biological, and physiological concepts to methods for the mathematical modeling of various materials by pursuing a multiscale approach, from subcellular to organ and system level. Written by active researchers, each chapter provides a detailed introduction to a given field, illustrates various approaches to creating models, and explores recent advances and future research perspectives. Topics covered include molecular dynamics simulations of lipid membranes, phenomenological continuum mechanics of tissue growth, and translational cardiovascular modeling.
Modeling Biomaterials will be a valuable resource for both non-specialists and experienced researchers from various domains of science, such as applied mathematics, biophysics, computational physiology, and medicine.
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Table of contents (6 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Modeling Biomaterials
Editors: Josef Málek, Endre Süli
Series Title: Nečas Center Series
DOI: https://doi.org/10.1007/978-3-030-88084-2
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-88083-5Published: 22 January 2022
eBook ISBN: 978-3-030-88084-2Published: 21 January 2022
Series ISSN: 2523-3343
Series E-ISSN: 2523-3351
Edition Number: 1
Number of Pages: IX, 276
Number of Illustrations: 15 b/w illustrations, 53 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Statistics and Computing/Statistics Programs, Numerical Analysis, Classical and Continuum Physics, Biomaterials