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Generation of Bose-Einstein Condensates’ Ground State Through Machine Learning

We show that both single-component and two-component Bose-Einstein condensates’ (BECs) ground states can be simulated by a deep convolutional neural network. We trained the neural network via inputting the parameters in the dimensionless Gross-Pitaevskii equation (GPE) and outputting the ground-stat...

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Detalles Bibliográficos
Autores principales: Liang, Xiao, Zhang, Huan, Liu, Sheng, Li, Yan, Zhang, Yong-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218512/
https://www.ncbi.nlm.nih.gov/pubmed/30397223
http://dx.doi.org/10.1038/s41598-018-34725-9