Multiphysics FDTD Simulations

Running Advanced Custom Models on a Laptop Computer
Erscheinungsjahr 2027
ISBN: 978-3-032-41302-4
Verlag: Springer

Buch, Englisch, 363 Seiten, Format (B × H): 155 mm x 235 mm

This book provides a comprehensive introduction to the finite-difference time-domain (FDTD) method, a widely used numerical technique for simulating wave propagation and related physical phenomena. It equips readers with the theoretical foundations and practical tools needed to develop their own transparent, modular simulation codes. Covering electromagnetic, acoustic, magnonic, sociophysical, quantum and mechanical systems, as well as coupled multiphysics processes, the book progresses from fundamental principles to advanced applications and provides ready-to-use algorithms and examples that can be executed on modest hardware. It serves as both a reference and a practical guide for those seeking to understand and extend FDTD methods in research and development.

• Presents a multiphysics FDTD framework covering electromagnetic, acoustic, magnonic, sociophysical, quantum and mechanical phenomena
• Explores unconventional applications of multiphysics FDTD through original case studies and practical examples
• Provides ready-to-use algorithms and transparent, modular computer codes designed to run efficiently on standard desktop and laptop hardware, as well as GPUs, FPGA accelerators and resource-constrained hardware

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Maksymov, Ivan S.

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Angewandte Optik
• Naturwissenschaften Physik Angewandte Physik

Inhaltsverzeichnis

Introduction.- Foundations and Historical Evolution of the FDTD Method.- Electromagnetics and Photonics.- Magnetism, Magneto-Optics and Spin-Wave Dynamics.- Acoustics and Elastic Wave Simulation.- Quantum Mechanics.- Nonlinear Phenomena.- Multiphysics Extensions.- Practical Insights: Running Large-Scale Simulations on Modest Hardware.- Unconventional and Emerging Applications.- Neuromorphic Computing.- Sociophysics.- Working with the Code: A Guide to the Algorithms in This Book.- Conclusion.

Über Autor(innen)

Ivan S. Maksymov began his academic journey at the renowned Kharkov Physics School, founded by Nobel Laureate Lev Landau, and continued his research at one of Europe’s leading centres for optics and photonics. He later held the prestigious Australian Research Council Future Fellowship, establishing a reputation as a versatile and innovative scientist and earning recognition among the world’s top 2% of researchers. His research has also inspired popular-science articles for general audiences. In 2020, he received the Ig Nobel Prize in Physics.