About

I am a PhD candidate in the Department of Aeronautics at Imperial College London, supervised by Prof. Yongyun Hwang. I work on data-driven resolvent analysis of coherent motions in wall-bounded turbulence.

Research interests

  • Resolvent analysis of turbulent shear flows under the triple decomposition framework
  • Data-driven modelling: optimal forcing/response pairs extracted from DNS via phase averaging and a generalised eigenvalue problem
  • Eddy-viscosity closures for the linearised operator — including anisotropic, component-dependent corrections to isotropic models
  • Coherent structures and the self-sustaining process across scales in wall-bounded turbulence

News

Forthcoming

Education

  • PhD, Instability, Turbulence & Pattern Formation Group, Department of Aeronautics, Imperial College London  ·  Nov 2024 – Nov 2028 (expected)
  • MSc, Department of Earth Science and Engineering (ESE), Imperial College London  ·  2023 – 2024
  • BA Applied Mathematics, University of Liverpool  ·  2021 – 2023
  • BA Applied Mathematics, Xi’an Jiaotong–Liverpool University  ·  2019 – 2021

Manuscripts

  • Producing Optimal Adaptive Meshes for Finite Element Methods Using Neural Networks  ·  2025
    Yufan Song, Boyang Chen, Christopher Pain.
    A deep-learning framework — GAN + Pointer Network + MLPs — for generating 2D optimal adaptive unstructured meshes for FEM.

Contact

Email: ys723@ic.ac.uk
Office: Department of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK

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