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Optimization of physical quantities in the autoencoder latent space

We propose a strategy for optimizing physical quantities based on exploring in the latent space of a variational autoencoder (VAE). We train a VAE model using various spin configurations formed on a two-dimensional chiral magnetic system. Three optimization algorithms are used to explore the latent...

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Detalles Bibliográficos
Autores principales:	Park, S. M., Yoon, H. G., Lee, D. B., Choi, J. W., Kwon, H. Y., Won, C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151681/ https://www.ncbi.nlm.nih.gov/pubmed/35637207 http://dx.doi.org/10.1038/s41598-022-13007-5

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