144 citations · 1.3k across the 37 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cond-mat.mtrl-sci2023★ 77 cited
Modelling atomic and nanoscale structure in the silicon-oxygen system through active machine learning
Linus C. Erhard, Jochen Rohrer, Karsten Albe +1
Silicon-oxygen compounds are among the most important ones in the natural sciences, occurring as building blocks in minerals and being used in semiconductors and catalysis. Beyond…
cond-mat.mtrl-sci2023★ 21 cited
Tailoring magnetic hysteresis of Fe-Ni permalloy by additive manufacturing: Multiphysics-multiscale simulations of process-property relationships
Yangyiwei Yang, Timileyin David Oyedeji, Xiandong Zhou +2
Designing the microstructure of Fe-Ni permalloy by additive manufacturing (AM) opens new avenues to tailor the materials' magnetic properties. Yet, AM-produced parts suffer from sp…