3 papers
cond-mat.mtrl-sci2024
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…
cond-mat.mtrl-sci2024
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…
cond-mat.mtrl-sci2023
Micromagnetics and Multiscale Hysteresis Simulations of Permanent Magnets
Yangyiwei Yang, Patrick Kühn, Mozhdeh Fathidoost +1
Confronting the unveiled sophisticated multiscale structural and physical characteristics of hysteresis simulation of permanent magnets, notably samarium-cobalt (Sm-Co) alloy, a no…