All Stories

  1. Data assimilation by optimized neural network for the fluidity code

    Article • Physics of Fluids, July 2025, American Institute of Physics

    Fangxin Fang, Haroldo Campos Velho

  2. Advancing neural network-based data assimilation for large-scale spatiotemporal systems with sparse observations

    Article • Physics of Fluids, September 2024, American Institute of Physics

    Fangxin Fang, Professor Yanghua Wang

  3. Nonstationary seismic–well tying with time-varying wavelets

    Article • Geophysics, April 2023, Society of Exploration Geophysicists

    Fangxin Fang, Professor Yanghua Wang

  4. Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital

    Article • Physics of Fluids, February 2023, American Institute of Physics

    Fangxin Fang, Dr Prashant Kumar

  5. A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark

    Article • Physics of Fluids, May 2021, American Institute of Physics

    Fangxin Fang, Professor Ionel Michael Navon

  6. Numerical study of COVID-19 spatial–temporal spreading in London

    Article • Physics of Fluids, April 2021, American Institute of Physics

    Fangxin Fang

  7. Test of a cubic spline interface for physical processes with a 1-D third-order spectral element model

    Article • Tellus A Dynamic Meteorology and Oceanography, January 2019, Taylor & Francis

    Fangxin Fang

  8. Natural ventilation in cities: the implications of fluid mechanics

    Article • Building Research & Information, June 2018, Taylor & Francis

    Dr David M Birch, W Lin, Fangxin Fang