Open AccessObtaining Underlying Parameters from Magnetic Domain Patterns with Machine Learning
Author(s) -
Naoya Mamada,
Masaichiro Mizumaki,
Ichiro Akai,
Toru Aonishi
Publication year - 2021
Publication title -
journal of the physical society of japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 139
eISSN - 1347-4073
pISSN - 0031-9015
DOI - 10.7566/jpsj.90.014705
Subject(s) - computer science , artificial intelligence , convolutional neural network , kernel (algebra) , ferromagnetism , domain (mathematical analysis) , machine learning , pattern recognition (psychology) , physics , condensed matter physics , mathematics , mathematical analysis , combinatorics