The International Journal of AI for Materials and Design (IJAMD) is a scholarly publication dedicated to advancing the intersection of artificial intelligence (AI), materials science and design. This peer-reviewed journal provides a platform for researchers, academics, and industry professionals to disseminate cutting-edge research, innovative methodologies, and practical applications that leverage AI techniques to enhance the understanding, development, and optimization of aspects related to materials and design processes. IJAMD seeks to contribute to the advancement of technology, innovation, and sustainability in materials design, engineering disciplines, product manufacturing and process technology.

The main focus of the journal is to showcase how integration of AI can be achieved with different aspects of material science, material design, product design, process control etc. to advance knowledge, innovation, and applications at the intersection of these fields. The journal seeks to bridge the gap existing between AI and field of engineering and materials science by fostering collaboration and driving innovation in these rapidly evolving fields. Researchers and industry engaged are invited to submit original research articles, reviews, and application-oriented papers to share their insights and contribute to the evolution of this rapidly evolving field.

This journal will serve as a hub to bring together the AI community of scientists, engineers and industry players, to shape the future of AI for materials and design.

Editor-in-Chief,

Prof Yeong Wai Yee