Open AccessSpecific loss power of magnetic nanoparticles: A machine learning approach
Author(s) -
Marco Coïsson,
Gabriele Barrera,
Federica Celegato,
Paolo Allia,
P. Tiberto
Publication year - 2022
Publication title -
apl materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.571
H-Index - 60
ISSN - 2166-532X
DOI - 10.1063/5.0099498
Subject(s) - remanence , materials science , coercivity , hysteresis , magnetic hysteresis , nanoparticle , artificial neural network , magnetic nanoparticles , magnetic field , saturation (graph theory) , condensed matter physics , anisotropy , magnetic anisotropy , magnet , nuclear magnetic resonance , artificial intelligence , computer science , nanotechnology , magnetization , mechanical engineering , physics , optics , engineering , mathematics , quantum mechanics , combinatorics
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