18 citations · 29 across the 3 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 11 cited
Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt +3
Amorphous silicon nitride (a-SiN) is a material which has found wide application due to its excellent mechanical and electrical properties. Despite the significant effort devoted i…
cond-mat.mtrl-sci2022★ 18 cited
Manufacturing of Textured Bulk Fe-SmCo Magnets by Severe Plastic Deformation
Lukas Weissitsch, Martin Stückler, Stefan Wurster +5
Exchange-coupling between soft- and hard-magnetic phases plays an important role in the engineering of novel magnetic materials. To achieve exchange coupling, a two-phase microstru…