All Stories

  1. Advancing neural network-based data assimilation for large-scale spatiotemporal systems with sparse observations
  2. Nonstationary seismic–well tying with time-varying wavelets
  3. Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital
  4. A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark
  5. Numerical study of COVID-19 spatial–temporal spreading in London
  6. Test of a cubic spline interface for physical processes with a 1-D third-order spectral element model
  7. Natural ventilation in cities: the implications of fluid mechanics