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Xiaofei Zhao

4 papers hereh-index 226 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • cond-mat.quant-gas1
  • gr-qc1
same name
  • Xiaofei Zhao — 21 papers, h 23
  • Xiaofei Zhao — 4 papers, h 3
  • Xiaofei Zhao — 3 papers, h 5
  • Xiaofei Zhao — 1 paper, h 3
  • Xiaofei Zhao — 1 paper, h 2
  • Xiaofei Zhao — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

gr-qc2025

Feeding a Kerr black hole with quantized vortices

Shilong Jin, Xiaofei Zhao, Yong Zhang +1

By solving a nonlinear Klein-Gordon equation in Kerr geometry, we uncover new phenomena and key characteristics of quantized vortices in quantum fluids near a Kerr black hole. The…

cond-mat.quant-gas2025

Toward fast, accurate and robust AI prediction of ground states in rotating BEC

Zhizhong Kong, Jerry Zhijian Yang, Cheng Yuan +1

We propose an unsupervised deep learning approach for computing the ground state (GS) of rotating Bose-Einstein condensation. To minimize the energy under a mass constraint, our ap…

math.NA2025

Arbitrary High-Order Maximum Principle-Preserving and Energy Dissipating Schemes for Gradient Flows

Qing Cheng, Tingfeng Wang, Xiaofei Zhao

For gradient flows, the existing structure-preserving schemes are difficult to achieve arbitrary high-order accuracy in time while preserving maximum-principle (MBP) and energy dis…

math.NA2024

Improved scalar auxiliary variable schemes for original energy stability of gradient flows

RUi Chen, Tingfeng Wang, Xiaofei Zhao

Scalar auxiliary variable (SAV) methods are a class of linear schemes for solving gradient flows that are known for the stability of a `modified' energy. In this paper, we propose…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.