Physics-Informed Machine Learning for Steel Development: A Computational Framework and CCT Diagram Modelling

Peter Hedström, Victor Lamelas Cubero, Jón Sigurdsson +6

Machine learning (ML) has emerged as a powerful tool for accelerating the computational design and production of materials. In materials science, ML has primarily supported large-s…