Steel Informatics

Steel Informatics aims to review the application of data-driven computing techniques related to design of steel including phase transformation, composition-process-property correlation, and different processing techniques, particularly deformation and joining. It is useful for researchers and students in Metallurgy and Materials Science.

Shubhabrata Datta is presently working as Research Professor in the Department of Mechanical Engineering, and Coordinator of the Centre for Composites and Advanced Materials at SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. His research interests are in the domain of Materials Informatics, Alloy Design, Composites and Biomaterials. Subhas Ganguly is an Associate Professor in the Department of Metallurgical and Materials Engineering, National Institute of Technology, Raipur, India. His research interests include Artificial Intelligence and Machine learning in Materials Engineering, Computational Optimization and Data Science for Metallurgical problems, Advance Steel and Alloy Design, Phase Transformation and Friction Stir Welding.

1 Introduction to Informatics and Data Analytics; 2 Materials Informatics and Steel Data; 3 Ironmaking and Steelmaking; 4 Prediction of Phase Transformation in Steel; 5 Steel Welding: DatäDriven Approaches; 6 DatäDriven Modeling of Mechanical Properties of Steel; 7 Microstructure and Machine Learning; 8 Optimization for Design; 9 Possibilities and Opportunities