Computer Physics Communications

Reconfigured continuous normalized gradient flow for computing ground states of Bose-Einstein condensates

Hao Wang, Wenjun Cai, Yongzhong Song, Yushun Wang

Published Jan 17, 2025• 4 citations

DOI: 10.1016/j.cpc.2025.109506

Related papers

Reconfigured continuous normalized accelerated gradient flow for computing ground states of spin-1 Bose–Einstein condensates

Hao Wang, Wenjun Cai, Yushun Wang +1 more

Communications in Nonlinear Science and Numerical SimulationJul 1, 20252 citations

Normalized flows based on Sobolev gradients for computing ground states of spinor Bose-Einstein condensates

Yong Wu, Cheng‐Yang Liu, Yongyong Cai

Journal of Computational PhysicsJun 4, 20251 citation

A normalized gradient flow method with attractive–repulsive splitting for computing ground states of Bose–Einstein condensates with higher-order interaction

Xinran Ruan

arXiv:1711.02506Journal of Computational PhysicsApr 26, 20184 citations

Efficient and accurate gradient flow methods for computing ground states of spinor Bose-Einstein condensates

Yongyong Cai, Wei Liu

Journal of Computational PhysicsFeb 6, 202116 citations

A projection gradient method for computing ground state of spin-2 Bose–Einstein condensates

Hanquan Wang

Journal of Computational PhysicsJun 18, 201431 citations

Computing ground states of Bose-Einstein condensation by normalized deep neural network

Weizhu Bao, Zhipeng Chang, Xiaofei Zhao

arXiv:2410.05319Journal of Computational PhysicsOct 9, 202410 citations