Overview
- Explores the most recent advances and methods for applications of active particles
- Chapters written by leading researchers in their respective areas
- Guides readers through numerous applications of active particles
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (6 chapters)
Keywords
- Active Particles
- Active Matter
- Mathematical Kinetic Theory
- Natural Swarms Heterogeneity
- Natural Swarms Variability
- Active Crowds
- Human Crowd Dynamics
- Cell Collective Motion
- Cell Collective Motion Mathematical Modeling
- Clustering Dynamics Graphs
- Random Batch Methods
- Classical Interacting Particle Systems
- Quantum Interacting Particle Systems
- Consensus-Based Optimization
- Consensus-Based Global Optimization Algorithm
About this book
- Variability and heterogeneity in natural swarms
- Multiscale aspects of the dynamics of human crowds
- Mathematical modeling of cell collective motion triggered by self-generated gradients
- Clustering dynamics on graphs
- Random Batch Methods for classical and quantum interacting particle systems
- The consensus-based global optimization algorithm and its recent variants
Mathematicians and other members of the scientific community interested in active matter and its many applications will find this volume to be a timely, authoritative, and valuable resource.
Editors and Affiliations
Bibliographic Information
Book Title: Active Particles, Volume 3
Book Subtitle: Advances in Theory, Models, and Applications
Editors: Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-3-030-93302-9
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 2022
Hardcover ISBN: 978-3-030-93301-2Published: 29 March 2022
Softcover ISBN: 978-3-030-93304-3Published: 30 March 2023
eBook ISBN: 978-3-030-93302-9Published: 28 March 2022
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: VII, 226
Number of Illustrations: 2 b/w illustrations, 42 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Complex Systems, Theoretical, Mathematical and Computational Physics, Theoretical and Computational Chemistry