Artificial Intelligence in Heat Transfer and Fluid Dynamics
Abstract
Artificial intelligence (AI) is a rapidly growing field in computer science that is changing the world by creating intelligent machines. It is already present in various aspects of our lives, from self-driving cars to music and art. Artificial intelligence systems analyze large amounts of data, identifying patterns and making predictions. In heat transfer and fluid dynamics, AI can optimize system design, predict and control temperature and flow rates, and analyze large data sets. This leads to improved efficiency, reduced costs, and enhanced safety. The AI techniques used in this field include neural networks, genetic algorithms, and machine learning. Applications of AI in heat transfer and fluid dynamics include aerodynamics, chemical processing, and power generation. Additionally, AI transforms aerodynamics by simulating complex fluid dynamics, predicting and controlling aerodynamic behavior, and optimizing aircraft and wind turbine design. This leads to improved aerodynamic efficiency, reduced fuel consumption, and enhanced safety. By applying AI in these fields, we can accelerate innovation and improve performance.
Fields of Study & Subjects
Model Reduction and Neural Networks
Artificial Intelligence Applications
Heat Transfer and Optimization
Publication details
- Pages
- 1–22
- Publication date
- 30 January 2026
- Language
- EN