Call for Chapters for AI-Enabled Computational Fluid Dynamics: Methods, Models and Applications Book – Numerical Fluids 2026
A book by Springer Nature dedicated to the 21st International Symposium on Numerical Analysis of Fluid Flows, Heat and Mass Transfer – Numerical Fluids 2026
Book Editors
- Managing Editor: Dia Zeidan – German Jordanian University, Jordan
- Associate Editor: Lucy T Zhang – Rensselaer Polytechnic Institute, USA
Background
This edited volume will include chapters developed from contributions accepted for presentation at the 21st International Symposium on Numerical Analysis of Fluid Flows, Heat and Mass Transfer – Numerical Fluids 2026. The proposed chapters should align with the symposium’s focus on advancing numerical methods, computational techniques, and simulation frameworks for applications in fluid flow, heat and mass transfer, and related areas of applied science and engineering. This theme is especially relevant at a time of increasing interest in applied and numerical mathematics for complex transport phenomena and multiphysics systems. Participation in Numerical Fluids 2026 will enable authors to present their findings to international experts, engage in scholarly discussion, and incorporate constructive feedback before submitting their full chapters to AI-Enabled Computational Fluid Dynamics: Methods, Models and Applications.
Topics of interest to this Special Issue include, but are not limited to:
- Classical CFD foundations
- AI foundations for fluid mechanics
- Data-driven modelling in CFD
- PINNs and neural operators
- Reduced-order models and surrogates
- AI for turbulence modelling
- AI for mesh and solver acceleration
- Uncertainty, validation, and trust
- Digital Twins and Real-Time Flow Prediction
- Future trends and open challenges
Schedule and Deadlines
- Abstract submission date: September 2026
- Chapter submission date: November 2026
- Chapter acceptance date: January 2027
- Tentative publication date: July 2027