Call for Book Chapters in Shock Wave Dynamics: From Classical Models to Machine Learning Applications – Numerical Fluids 2025

A book by Springer Nature dedicated to the 20th International Symposium on Numerical Analysis of Fluid Flows, Heat and Mass Transfer – Numerical Fluids 2025

Book Editors

  • Managing Editor: Satyvir Singh – RWTH Aachen University, Germany
  • Associate Editor: Dia Zeidan – German Jordanian University, Jordan

Background

Chapters submitted to this book must be accepted and presented during the 20th International Symposium on Numerical Analysis of Fluid Flows, Heat and Mass Transfer – Numerical Fluids 2025. All chapters should reflect the focus of Numerical Fluids 2025 on developing numerical tools and simulations on computational and applied sciences and engineering using mathematics. This focus particularly relevant in the current interest of applied and numerical mathematics for fluid flow, heat and mass transfer problems and related topics. Numerical Fluids 2025 will allow authors to present their research work before international experts and probably receive feedback about their research work before submitting their full chapters to Shock Wave Dynamics: From Classical Models to Machine Learning Applications Book. 

Topics of interest to this Special Issue include, but are not limited to:

  • Introduction to Shock Wave Dynamics
  • Mathematical Foundations of Shock Wave Propagation
  • Analytical and Semi Analytical Solutions in Shock Wave Theory
  • Shock Wave Interactions and Instabilities
  • Multiphase, Quantum, and Relativistic Shock Waves
  • Computational Fluid Dynamics for Shock Wave Simulations
  • High Order and Hybrid Numerical Methods for Shock Wave Problems
  • Shock Waves in High Speed Aerodynamics and Aerospace Applications
  • Experimental Techniques in Shock Wave Physics
  • Shock Waves in Plasma, Fusion, and Magneto hydrodynamics
  • Machine Learning for Shock Wave Modeling and Prediction
  • Physics Informed Neural Networks for Shock Wave Simulations
  • Reinforcement Learning for Shock Wave Control and Optimization
  • Data Driven Approaches for Turbulence and Shock Interactions
  • Reduced Order Modeling and Surrogate Based Simulations of Shock Waves
  • Shock Waves in Biological, Medical, and Soft Matter Applications
  • Shock Waves in Industrial and Defense Applications
  • Shock Induced Phase Transitions, Extreme Material Behavior, and Thermodynamics
  • Multi Scale Modeling of Shock Waves Bridging Micro to Macro Scales
  • Future Trends and Open Challenges in Shock Wave Research

 Schedule and Deadlines

  • Closing date for submissions: 01 June 2026
  • Tentative publication date: 01 February 2027

Scroll to Top