142 citations · 336 across the 17 of their papers we have counts for
3 papers · 1 filter
Coercivity influence of nanostructure in SmCo-1:7 magnets: Machine learning of high-throughput micromagnetic data
Yangyiwei Yang, Patrick Kühn, Mozhdeh Fathidoost +9
As a pinning-controlled permanent magnet, tailoring the cellular nanostructure of samarium-cobalt-based 1:7-type (SmCo-1:7) magnets remains crucial for improving magnetic performan…
ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat
Somnath Bharech, Yangyiwei Yang, Michael Selzer +2
As material modeling and simulation has become vital for modern materials science, research data with distinctive physical principles and extensive volume are generally required fo…
What can machine learning help with microstructure-informed materials modeling and design?
Xiang-Long Peng, Mozhdeh Fathidoost, Binbin Lin +2
Machine learning techniques have been widely employed as effective tools in addressing various engineering challenges in recent years, particularly for the challenging task of micr…