Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization

Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization

Abstract Numerical generation of physical states is essential to all scientific research fields. The role of a numerical generator is not limited to understanding experimental results; it can also be employed to predict or investigate characteristics of uncharted systems. A variational autoencoder m...

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Bibliographic Details
Main Authors: Hee Young Kwon, Han Gyu Yoon, Sung Min Park, Doo Bong Lee, Jun Woo Choi, Changyeon Won
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Advanced Science
Subjects:
energy minimization
generative model
machine learning
micromagnetism
the ground state
Online Access:https://doi.org/10.1002/advs.202004795

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