Multiscale Modelling and Analysis of Complex Nonlinear Dynamics Systems

Technologies, Challenges and Applications
1. Auflage 2027
ISBN: 978-1-041-37922-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 416 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: Artificial Intelligence and Machine Learning for Intelligent Engineering Systems

The book’s emphasis on cutting-edge methodologies, such as machine learning-augmented modelling, concurrent multiscale coupling techniques, and quantum-classical hybrid computing, equips readers to address grand challenges in materials science, biological systems, and climate modelling. It discusses the potential of quantum computing for solving multiscale ordinary and partial differential equations.

The text:

- Integrates cutting-edge technologies like artificial intelligence-driven modelling, quantum computing, digital twins, and ethics in simulation.

- Addresses both data-driven and physics-based modelling, encompassing applications across multiple domains and scales—from molecular to geophysical systems.

- Bridges microscales, mesoscales, and macroscale dynamics using both physics-based and data-driven modelling approaches.

- Discusses mathematical modelling, computational methods, artificial intelligence tools, and domain-specific applications across physics, engineering, biology, and environmental systems.

- Includes detailed case studies such as aerospace crashworthiness, renewable energy systems, pandemic modelling, and smart manufacturing, showcasing how theoretical tools are applied to tangible, and high-impact problems.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, mathematics, industrial and production engineering, and manufacturing engineering.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Mishra, Satya Ranjan

Panda, Subhajit

Pandey, Alok Kumar

Awasthi, Mukesh Kumar

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik Mathematik Mathematische Analysis

Inhaltsverzeichnis

1. Biological Interpretation of the Dynamical Behavior in a Nonlinear Host-Commensal-Mutualistic Three Species System. 2. Fitzhugh-Nagumo Equation in Neurosciences Using Differential Quadrature. 3. Nonlinear Dynamics of Micropolar Two-Phase Fluids: Multiple Exact Solutions with Physical Insights. 4. A Markovian Queuing Approach to Nonlinear Time-Series Modeling Using Artificial Neural Networks.5. A Stock-Dependent Sustainable Inventory Model with Trade-Credit Option Under Fuzzy Environment: Validation of Results Through Genetic Programming. 6. Hybrid Computational Modelling of Non-Newtonian Rotating Spherical Flow: Numerical, Support Vector Machine and Deep Neural Network Approach. 7. Physics-Informed Neural Network Analysis of MHD Flow and Heat Transfer over a Riga Plate in a Porous Medium. 8. Radiative Impact with Chemical Reaction on Transient Powell-Eyring Nanofluid over Elongating Surface. 9. Comparative Study of Heat Transfer in Magnetized-Radiative Fluid Flow over a Stretching Rotating Disk. 10. Enhancing Heat Transfer on Free Convection of Conducting Nanofluid through a Porous Stretching Sheet with Thermal Radiation. 11. Numerical Study of Heat Transfer Enhancement by Sudden Introduction of Different Shapes of Nanoparticles TiO2 on a Free Convective Moving Fluid Above a Stretching Sheet. 12. Thermal Radiation and Magnetic Parameter Effects on Water-Based Oxide Hybrid Nanofluid Flow Characteristics. 13. MHD Williamson Nanofluid Transport through a Porous Medium with an Exponentially Stretching Sheet Incorporating Non-linear Radiation and Linear Chemical Reaction. 14. Magneto Hydrodynamic Heat and Mass Transfer Analysis of Tetra-Hybrid Nanofluid Flow in a Stretchable Convergent/Divergent Channel with Non-Darcy Porous Medium and Activation Energy. 15. MHD Bioconvective Nanofluid Flow with Oxytactic Microorganisms in a Porous Stretching Cylinder: Applications to Biomedical Transport. 16. A Biomechanical Study of Synovial Porous Hip Joint Lubrication for Sustainable Joint Health: Integrating Couple Stress and Magnetic Fluid Lubrication.

Über Autor(innen)

Satya Ranjan Mishra currently working as Professor, Department of Mathematics, Siksha O Anusandhan Deemed to be University, Bhubaneswar. He has 19 years of teaching experience in both PG and UG level. He did his Ph.D. from Siksha O Anusandhan in 2013 and since then actively engaged in his research work. His area of interest is Heat transfer, Magnetohydrodynamics, Porous media, etc. with the broad area of Fluid Dynamics. He has published nearly 414 papers in the international journals of repute and all are either SCI or Scopus indexed. With a huge citation of his work, he took a position of Top 2% World Scientists by Stanford University, USA in 5 consecutive years i.e., 2020-2024. He has also guided 13 research scholars and six more students are working under his guidance. Dr. Mishra Delivered several lectures in various conferences and Faculty development program organized by Rajasthan Technical University, Rajasthan in 2019 on the topic “Introduction to MATLAB”, FDP organized by Poornima Group of Institutions, Rajasthan on the topic “Numerical solutions using scientific tool MAPLE” in 2020 (online), Summer instructional School organized by NIT Arunachachal Pradesh on the topic “Linear Algebra” in the year 2020. As strength he has edited a book series in Springer Nature for the year 2020 as a leading Editor and also Editor/associate editor in several reputed international journals. Dr. Mishra wrote a Book entitled “Learning Numerical Method using MATLAB” under the Bentham Science publisher, UAE and going to be publish soon in this year.

Subhajit Panda currently working as Assistant Professor, Centre for Data Science, Siksha O Anusandhan Deemed to be University, Bhubaneswar. He has 3 years of teaching experience in both PG and UG level. He did his Ph.D. from National Institute of Technology, Mizoram. His area of interest is Basic Study of Computational Fluid Dynamics, Response Surface Methodology, Artificial Neural Network. He has published nearly 111 papers in the repute international journals and all are either SCI or Scopus indexed.

Alok Kumar Pandey is an Assistant Professor in the Department of Mathematics, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India. He obtained his doctorate from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India. His area of research is Computational Fluid Dynamics. He has published more than 70 research articles in international journals. He has published 3 edited books in CRC-press. He was included in the World's Top 2% Scientists 2023-2024 list (by Stanford University, USA). He was awarded with Publons Peer Review Award in 2018. He is a certified reviewer of more than 140 international journals. He is currently Academic editor of Journal of Applied Mathematics, Editor for the Open Physics and Journal of Engineering Researcher and Lecturer, Associate Editor for the Journal of Advanced Research in Numerical Heat Transfer, and Journal of Advanced Research in Micro and Nano Engineering and serving as a member of the editorial board for journals such as Teknomekanik and SCIREA Journal of mathematics. His scientific metrics according to Google Scholar show h-index=33, Citations=2913 and i10-index=55.

Mukesh Kumar Awasthi has done his Ph.D. on the topic “Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability”. He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research. He has published 150 plus research publications (journal articles/books/book chapters/conference articles) in many national and international journals and conferences. Also, he has published 26 books. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got the “Research Awards” consecutively four times from 2013-2016 by the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project “Nonlinear study of the interface in multilayer fluid system” from UGC, New Delhi. He is also listed in the top 2% influential researchers in the World prepared by Stanford University based on Scopus data in 2023-25. His Orcid is 0000-0002-6706-5226, Google Scholar web link is https://scholar.google.co.in/citations?user=Dj3ktGAAAAAJ and research gate web link ishttps://www.researchgate.net/profile/Mukesh-Awasthi-2.