2 papers
cs.LG2025
Unsupervised operator learning approach for dissipative equations via Onsager principle
Zhipeng Chang, Zhenye Wen, Xiaofei Zhao
Existing operator learning methods rely on supervised training with high-fidelity simulation data, introducing significant computational cost. In this work, we propose the deep Ons…
cond-mat.quant-gas2024
Computing ground states of Bose-Einstein condensation by normalized deep neural network
Weizhu Bao, Zhipeng Chang, Xiaofei Zhao
We propose a normalized deep neural network (norm-DNN) for computing ground states of Bose-Einstein condensation (BEC) via the minimization of the Gross-Pitaevskii energy functiona…