Magnetic Hamiltonian parameter estimation using deep learning techniques
Deep learning can provide a better complementary link between the theoretical models and experimental results in magnetism.
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Engineering topics
Publications and source records attributed to Yoon, H. G..
Deep learning can provide a better complementary link between the theoretical models and experimental results in magnetism.