2 papers
cs.LG2025
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…
cond-mat.mtrl-sci2018
Quantum mechanics basis of quality control in hard metals
Ruiwen Xie, Raquel Lizárragaa, David Linder +6
Non-destructive and reliable quality control methods are a key aspect to designing, developing and manufacturing new materials for industrial applications and new technologies. The…