Discover the power of Artificial Intelligence in materials design with “Artificial Intelligence-Aided Materials Design.” This essential guide explores AI and machine learning algorithms for creating predictive models for advanced alloys like magnetic alloys, superalloys, titanium, and aluminum. Perfect for beginners and experienced researchers, it features practical MATLAB and Python implementations with real-world case studies. Learn to analyze experimental, simulation, and industrial data, understand AI concept advantages and limitations, and develop your own predictive models. Explore unsupervised learning for pattern discovery and CALPHAD approach integration. This book bridges materials science and data-driven innovation, offering a unique chapter on metallurgical concepts for seamless AI algorithm application. Ideal for materials scientists and metallurgists seeking to advance new material development.