Weixin Qian
- Fast prediction of three-dimensional indoor flow fields by a reduced dimensional deep-learning approach. In: Building and Environment, v. 270 (Februar 2025). (2025):
- Estimating indoor air temperature and humidity distributions by data assimilation with finite observations: Validation using an actual residential room. In: Building and Environment, v. 269 (Februar 2025). (2025):
- Machine learning-based reduced-order reconstruction method for flow fields. In: Energy and Buildings, v. 320 (Oktober 2024). (2024):
- Rapid prediction of indoor airflow field using operator neural network with small dataset. In: Building and Environment, v. 251 (März 2024). (2024):
- Optimizing measurement schemes to improve indoor airflow and temperature CFD–EnKF joint simulation. In: Building and Environment, v. 248 (Januar 2024). (2024):
- Improving indoor air flow and temperature prediction with local measurements based on CFD-EnKF data assimilation. In: Building and Environment, v. 223 (September 2022). (2022):