Computational Physics and Engineering Simulations in Python for Energy and Propulsion Systems

Computational Physics and Engineering Simulations in Python for Energy and Propulsion Systems is an applied introduction to scientific computing and numerical modeling focused on energy technologies, propulsion systems, and engineering physics. The book presents a collection of educational Python notebooks based on simplified but physically meaningful models from nuclear engineering, fluid dynamics, heat transfer, electromagnetism, and aerospace propulsion.The text emphasizes practical computational methods rather than industrial-scale simulations, providing readers with accessible examples that combine physics, mathematics, and programming. The notebooks are designed to help students and engineers understand the fundamentals of numerical modeling and multiphysics analysis using Python.Topics covered include numerical integration, ordinary and partial differential equations, heat transfer, simplified Navier--Stokes solutions, Maxwell equations, Monte Carlo simulations, reactor physics fundamentals, neutron flux and $k_}$ calculations, thermodynamic and exergy analysis of small modular reactors, and simplified coupled multiphysics models combining neutronics, thermal, and fluid modules.The book also introduces propulsion-related simulations, including performance analysis of chemical, nuclear thermal, nuclear electric, solar thermal, and electrothermal rockets, as well as simplified computational models inspired by fusion propulsion concepts such as Direct Fusion Drive systems. Additional emphasis is placed on scientific visualization and the generation of 2D and 3D engineering plots.All examples are implemented in Python using widely available scientific libraries, with a focus on readability, reproducibility, and ease of modification. The notebook-based structure encourages experimentation and independent study.This book is intended for engineering and physics students, educators, and professionals seeking a practical introduction to computational modeling for energy and propulsion applications.The Python Codes can be found in:https://github.com/clesio-ismerio/PythonCodes_CompPhysEngSimEnergProp.gitFor the best reading experience of equations, figures, and code formatting, the paperback edition is recommended. Read more