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Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization
- Source :
- Advanced Science, Vol 8, Iss 11, Pp n/a-n/a (2021), Advanced Science
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
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 model is devised and applied to a magnetic system to generate energetically stable magnetic states with low local deformation. The spin structure stabilization is made possible by taking the explicit magnetic Hamiltonian into account to minimize energy in the training process. A significant advantage of the model is that the generator can create a long‐range ordered ground state of spin configuration by increasing the role of stabilization even if the ground states are not necessarily included in the training process. It is expected that the proposed Hamiltonian‐guided generative model can bring about great advances in numerical approaches used in various scientific research fields.<br />An energy‐minimization variational autoencoder model is devised to generate energetically stable physical states by taking the explicit Hamiltonian into the training process. A significant advantage of the model is that the generator can produce the ground states of various systems even if the ground states are not necessarily included in the training process.
- Subjects :
- energy minimization
General Chemical Engineering
Science
General Physics and Astronomy
Medicine (miscellaneous)
02 engineering and technology
010402 general chemistry
Energy minimization
01 natural sciences
Biochemistry, Genetics and Molecular Biology (miscellaneous)
General Materials Science
Statistical physics
generative model
Micromagnetics
Research Articles
Spin-½
Physics
General Engineering
the ground state
021001 nanoscience & nanotechnology
micromagnetism
Autoencoder
0104 chemical sciences
Generative model
machine learning
0210 nano-technology
Ground state
Hamiltonian (control theory)
Research Article
Generator (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 21983844
- Volume :
- 8
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Advanced Science
- Accession number :
- edsair.doi.dedup.....ccf5cdb7b4668260e7f038d4e61a6acf