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Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride

Autor: Nayak, Ganesh Kumar, Srinivasan, Prashanth, Todt, Juraj, Daniel, Rostislav, Nicolini, Paolo, Holec, David

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 in understanding how the microscopic structure influences the material

Externí odkaz: http://arxiv.org/abs/2408.05782

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Manufacturing of Textured Bulk Fe-SmCo$_{5}$ Magnets by Severe Plastic Deformation

Autor: Weissitsch, Lukas, Stückler, Martin, Wurster, Stefan, Todt, Juraj, Knoll, Peter, Krenn, Heinz, Pippan, Reinhard, Bachmaier, Andrea

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 microstructure is necessary. This interface effect is further enhanced if both

Externí odkaz: http://arxiv.org/abs/2204.01383

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